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JHU/APL has developed and tested ingestible pills that telemeter core body temperature. The hybrids were manufactured as chip and wire on thick film ceramic substrates and surface mount on polyimide boards. The devices have potential applications for divers, astronauts, soldiers in combat, people working in hazardous conditions and people with hypothermia and hyperthermia. Descriptions of both circuit operation and packaging techniques are included.

The purpose of this paper is to examine the risk of unintended pregnancy among women during Cook County Jail intake by assessing basic contraceptive history, the need for emergency contraception (EC) at intake, and contraception at release.

This is a cross-sectional study of women 18–50 years old at Cook County Jail in Chicago, Illinois from June 2011 through August 2012. The authors administered the survey at the time of intake on 33 convenient evenings. Surveys consisted of multiple-choice close-ended questions administered via interview. Topics included contraceptive use, pregnancy risk and pregnancy desire. The authors computed frequencies to describe the distribution of question responses and used logistic regression modeling to identify factors significantly related to the use of contraception at intake and to the acceptance of contraception at release.

Overall, 194 women participated. Excluding women not at risk for pregnancy (4.6 percent currently pregnant, 17.5 percent surgically sterilized/postmenopausal and 4.6 percent using long-acting reversible contraceptives), 73.2 percent of women were at risk for pregnancy (n = 142) and, therefore, had a potential need for contraception. Among these women at risk for unintended pregnancy, 68 (47.9 percent) had unprotected intercourse within five days prior to survey administration. When asked about EC, most women (81.4 percent) would be interested if available. Additionally, 141 (72.7 percent) of women would be interested in contraceptive supplies if provided free at release.

Newly incarcerated women are at high risk for unintended pregnancy. Knowledge about EC and ability to access birth control services are both significantly limited. These conclusions support providing an intake screening in jails to identify women at risk for unintended pregnancy.

An autonomous sensing system is described for deployment on high voltage power lines and to provide an economical method for monitoring current on such lines. The autonomy is provided by drawing power off the line being monitored via electromagnetic induction to drive the current measuring device and for the transmission of the current data to ground level via an optic fibre link, which provides inherent electrical insulation. When the autonomy of the system is threatened, the system automatically switches to be energised from a laser source at ground control via a second optical fibre link. Test results showing the performance of the system are presented.

This paper aims to report on a new pilling measurement system that has been developed using image processing technique.

A pilling assessment cabinet is designed and developed which captures images and a software is developed to process and analyze the image of a pilled fabric to find out the various pilling parameters such as total number of pills, total area of the pills, mean area and number of pills per unit area. The image processing software processed image data of both the existing subjective assessment standards and pilled fabrics and assign suitable grades for comparison.

The grades assigned by the machine correlates well with that of the experts grades and the results are reliably reproducible. The system can count the number of pills, find their total area, and their mean area. The results of EMPA‐W2 and EMPA‐W3 standards behave almost similar. The ASTM standards also gives somewhat the same results as the EMPA standards in number of pills but has a wide variation in the pilled area and mean pill area. The IWS standards produced an entirely different result from the other two standards, which leads us to the conclusion that all these standards are not objectively comparable to each other.

The machine grade becomes a suitable methodology to compare the different grading systems.

Traditional pilling tests are subjective by nature. Moreover, standards set by different organizations are not comparable with each other. This method presents a more universal and objective approach to describe the nature of the pilling.

The paper aims to build a finite element simulation model for pilling of polyester hairiness on the fabric to study the effects of hairiness performance on pilling and reveal pilling mechanisms.

The finite element simulation model of pilling of polyester hairiness was established by ABAQUS. Polyester hairiness was treated as elastic thin rod, which was divided by two-node linear three-dimensional truss element. The effects of hairiness elastic modulus, hairiness friction coefficient and hairiness diameter on frictional dissipation energy, strain energy and kinetic energy produced by pilling have been studied. The analysis solution values were compared with the finite element simulation results, which was used to verify finite element simulation.

The paper provides new insights about how to reveal pilling mechanisms of polyester hairiness with different performance. Comparing finite element simulation results with analysis solutions shows that the fitness is greater than 0.96, which verifies finite element simulation. Larger hairiness elastic modulus gives rise to higher friction dissipation energy and strain energy of hairiness but lower kinetic energy. Increasing friction coefficient enhances friction dissipation and strain energy of hairiness. However, kinetic energy decreases with the increase of friction coefficient. Hairiness diameter also has an important effect on hairiness entanglement and pilling. Increasing hairiness diameter can decrease friction dissipation energy but enhance strain energy and kinetic energy.

Finite element simulation was verified by analysis solutions. The solutions include friction dissipation energy, strain energy and kinetic energy, which cannot measured b experiment. Therefore, researchers are encouraged to simulate pilling to obtain pilling grades, which be compared with experiment results.

Pilling of polyester hairiness was simulated by ABAQUS. This method makes pilling process visualization, and pilling mechanisms was revealed from non-linear dynamics.

This paper examines the relationship between poison pills, real earnings management and initial public offering (IPO) failure.

The authors sampled 2,997 IPO firms that went public during 1993-2015.

The authors find that IPO firms manipulate earnings upward using real earnings management. The authors also find that IPO firms exhibiting a higher level of real earnings management have a higher probability of IPO failure. In addition, the authors find that weak shareholders' governance is positively associated with IPO failure.

These results suggest that poor governance structures in failed firms open the door to manipulating real activities and increasing operational risk.

The study findings are of most significant interest to potential investors and other stakeholders affiliated with a firm going public, an auditor, an underwriter, the lawyers who consult with the firm and employees or executives who might consider joining that firm.

The purpose of this paper is to examine the effect of stock price crash risk on the adoption of poison pills.

The authors estimate logit and probit regressions. Their sample includes 185 Brazilian public firms for the period 2010–2018. Following previous studies, the authors use the negative skewness of firm-specific weekly returns and the down-to-up volatility of firm-specific weekly returns as measures of firm's stock price crash risk. As proxies of poison pills, the authors employ the “conventional” poison pills in their baseline models and the “eternity” poison pills, which prevent the removal of poison pills from bylaws, in additional models.

The authors find that stock price crash risk measures are not associated with poison pill adoption. However, although stock price crash risk does not lead to poison pill adoption as a complementary corporate governance mechanism that protects firms against hostile takeover attempts, further results show that managers do not draw on stock price crash risk as a pretext to entrench themselves. Additional analyses also highlight that CEO power seems to play a role in moderating the relationship between stock price crash risk and eternity poison pill adoption.

The authors contribute to the literature on stock price crash risk, which calls for research in international contexts to better understand the effect of stock price crash risk on country-specific idiosyncratic features. The authors discuss a controversial anti-takeover mechanism that has been debated by Brazilian policymakers.

The paper aims to build a new objective evaluation method of fabric pilling by combining an integrated image analysis technology with a deep learning algorithm.

Series of image analysis techniques were adopted. First, a Fourier transform transformed images into the frequency domain. The optimal resolution matrix of an exponential high-pass filter was determined by combining the energy algorithm. Second, the multidimensional discrete wavelet transform determined the optimal division level. Third, the iterative threshold method was used to enhance images to obtain a complete and clear pilling ball images. Finally, the deep learning algorithm was adopted to train data from pilling ball images, and the pilling levels were classified according to the learning features.

The paper provides a new insight about how to objectively evaluate fabric pilling grades. Results of the experiment indicate that the proposed objective evaluation method can obtain clear and complete pilling information and the classification accuracy rate of the deep learning algorithm is 94.2%, whose structures are rectified linear unit (ReLU) activation function, four hidden layers, cross-entropy learning rules and the regularization method.

Because the methodology of the paper is based on woven fabric, the research study’s results may lack generalizability. Therefore, researchers are encouraged to test other kinds of fabric further, such as knitted and unwoven fabrics.

Combined with a series of image analysis technology, the integrated method can effectively extract clear and complete pilling information from pilled fabrics. Pilling grades can be classified by the deep learning algorithm with learning pilling information.

Poison pill adoption is often considered as the most effective tactic to fend off an unsolicited takeover bid. However, it is difficult to identify the deterrent effect because the adoption is naturally endogenous. The purpose of this paper is to use plausibly exogenous instruments to mitigate the endogeneity problem.

The author employs two econometric models: the linear probability model and the bivariate probit model to examine the effect of poison pills on the outcome of a takeover.

Using a sample of 655 unsolicited takeovers, the author finds that poison pills substantially reduce the likelihood that a takeover bid, once undesirably placed, is completed. This negative impact strongly supports the manager entrenchment hypothesis in that managers adopt poison pills to ensure the continuation of their private benefits. However, the author finds no strong evidence consistent with the shareholder interest hypothesis that poison pills enhance the management’s ability to negotiate higher premiums or reject inadequate offers.

The demise of the market for unsolicited takeovers with the disappearance of poison pills can be explained by the fact that poison pills, if adopted, will have an absolute deterrent effect on the takeover likelihood of success, and targets always have the power to adopt them instantly.

There should be policies to limit the power of managers to adopt poison pills because it causes the entrenchment problem which will negatively affect the firm value.

The author tackles the problem of the endogeneity of poison pill adoptions. The author shows that poison pills have a strong negative effect on the takeover outcome and the result can explain the decreasing number of unsolicited takeovers.

Poison pill securities can be used to deter takeover activity by making the acquisition cost prohibitive or to increase bargaining power of target firms. Poison pills, which are also known as shareholder rights plans, are typically used in conjunction with other takeover defense mechanisms, such as anti‐takeover charter amendments or dual classes of stock. This study examines the role that debt plays as an anti‐takeover strategy in the presence of poison pills. The results show that, on average, capital markets have little reaction to poison pill announcements. A regression equation, however, shows that announcement period abnormal returns are positively related to leverage ratios. This paper provides empirical evidence that the capital structure of firms plays an important role in the perceived strength of poison pills.