bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impacts of temperature alteration on the drinking water quality stored in plastic bottles
Authors: Ahmed Abdelkader T. , Emad Mohammed , Bkary Mohammed A. 
Published: September 2021

AbstractMany people prefer to drink bottled water instead off the tap water. The bottled water is stored in the plastic bottles sometimes for long time. These plastic bottles might leach out some harmful materials into the water especially when exposed to temperature alteration, which may affect human health. This research work focused on investigating the effect of changing temperature on the bottled water quality. The work studied the effect of heating water in plastic bottles by sun, oven, and microwave. The study included also the impact of cooling and freezing the bottled waters. Results showed that temperature alterations caused changes in some physicochemical properties of bottled waters such as decreasing the values of pH and TDS and increasing levels of fluoride and chloride. In addition, the concentration levels of some physiochemical parameters exceeded the permissible values for drinking water. With temperature alterations, all levels of heavy metals in bottled waters were minimal except some small concentrations of copper and zinc. Results confirmed also differences in behavior between the bottled water brands exposed to the same temperature alterations. Heating bottled waters above 50 °C is alarming problem on the water quality. This is because above this degree, many alternations were observed in the water content. The outcomes of this work are useful for improving the current legislation on bottled waters and their storage.
A systematic review of data science and machine learning applications to the oil and gas industry
Authors: Tariq Zeeshan , Aljawad Murtada Saleh , Hasan Amjed , Murtaza Mobeen , Mohammed Emad , El-Husseiny Ammar , Alarifi Sulaiman A. , Mahmoud Mohamed , Abdulraheem Abdulazeez 
Published: September 2021

AbstractThis study offered a detailed review of data sciences and machine learning (ML) roles in different petroleum engineering and geosciences segments such as petroleum exploration, reservoir characterization, oil well drilling, production, and well stimulation, emphasizing the newly emerging field of unconventional reservoirs. The future of data science and ML in the oil and gas industry, highlighting what is required from ML for better prediction, is also discussed. This study also provides a comprehensive comparison of different ML techniques used in the oil and gas industry. With the arrival of powerful computers, advanced ML algorithms, and extensive data generation from different industry tools, we see a bright future in developing solutions to the complex problems in the oil and gas industry that were previously beyond the grip of analytical solutions or numerical simulation. ML tools can incorporate every detail in the log data and every information connected to the target data. Despite their limitations, they are not constrained by limiting assumptions of analytical solutions or by particular data and/or power processing requirements of numerical simulators. This detailed and comprehensive study can serve as an exclusive reference for ML applications in the industry. Based on the review conducted, it was found that ML techniques offer a great potential in solving problems in almost all areas of the oil and gas industry involving prediction, classification, and clustering. With the generation of huge data in everyday oil and gas industry activates, machine learning and big data handling techniques are becoming a necessity toward a more efficient industry.
Lower pollen nutritional quality delays nest building and egg laying in Bombus terrestris audax micro-colonies leading to reduced biomass gain
Authors: Ryder Jordan T. , Cherrill Andrew , Thompson Helen M. , Walters Keith F. A. 
Published: September 2021

AbstractThe performance ofBombus terrestrismicro-colonies fed five diets differing in pollen species composition and level of nine essential amino acids (EAA; leucine, lysine, valine, arginine, isoleucine, phenylalanine, threonine, histidine, methionine) was assessed for 37 days by recording total biomass gain, nest building initiation, brood production (eggs, small and large larvae, pupae, drones), nectar, and pollen collection. Stronger colony performance was linked to higher amino acid levels but no consistent differences in biomass gain were recorded between mono- and poly-species diets. Poorest performance occurred in micro-colonies offered pure oilseed rape (OSR) pollen which contained the lowest EAA levels. Reduced micro-colony development (delayed nest initiation and lower brood production) was related to OSR proportion in the diet and lower EAA levels. Results are discussed in relation to selection of plant species in the design of habitats to promote bee populations.
Significant strain-rate dependence of sensing behavior in TiO2@carbon fibre/PDMS composites for flexible strain sensors
Authors: Zhang Fan , Hu Hailong , Hu Simin , Yue Jianling 
Published: September 2021

AbstractCarbon fibre (CF) embedded into elastomeric media has been attracting incredible interest as flexible strain sensors in the application of skin electronics owing to their high sensitivity in a very small strain gauge. To further improve the sensitivity of CF/PDMS composite strain sensor, the relatively low temperature prepared TiO2 nanowire via hydrothermal route was employed herein to functionalize CF. The results showed a significant increase in the sensitivity of the TiO2@CF/PDMS composite strain sensors which was reflected by the calculated gauge factor. As the prepared TiO2 nanowire vertically embraced the surroundings of the CF, the introduced TiO2 nanowire contributed to a highly porous structure which played a predominant role in improving the sensitivity of strain sensors. Moreover, the significant strain rate dependent behavior of TiO2@CF/PDMS strain sensor was revealed when performing monotonic tests at varied strain rate. Therefore, introducing TiO2 nanowire on CF offers a new technique for fabricating flexible strain sensors with improved sensitivity for the application of flexible electronics.
Iron Making in Fornovolasco (Italy) at the End of the Fifteenth Century, the Canecchio Furnace, and an Artifact Characterization
Authors: Gruttadauria Andrea , Barella Silvia , Mapelli Carlo , Mombelli Davide 
Published: September 2021

AbstractThis study investigates the rise of the Este family in Garfagnana (Tuscany, Italy) during the first half of the 15th century. The Este wanted to annex this region to improve their cast-iron production both for military and economic advantages. This article, thanks to a document found in the State Archives of Modena, encompasses an overview of the Fornovolasco settlement, a description of the furnace room, an analysis of the first casting campaign, and an attempt at furnace sizing. In the final section, a brief characterization of a cast-iron artifact found in that region and probably coming from this casting campaign is provided.
The Road to the Beijing Winter Olympics and Beyond: Opinions and Perspectives on Physiology and Innovation in Winter Sport
Authors: Wang Jun , Guan Hongwei , Hostrup Morten , Rowlands David S. , González-Alonso José , Jensen Jørgen 
Published: September 2021

AbstractBeijing will host the 2022 Winter Olympics, and China strengthens research on various aspects to allow their athletes to compete successfully in winter sport. Simultaneously, Government-directed initiatives aim to increase public participation in recreational winter sport. These parallel developments allow research to advance knowledge and understanding of the physiological determinants of performance and health related to winter sport. Winter sport athletes often conduct a substantial amount of training with high volumes of low-to-moderate exercise intensity and lower volumes of high-intensity work. Moreover, much of the training occur at low ambient temperatures and winter sport athletes have high risk of developing asthma or asthma-related conditions, such as exercise-induced bronchoconstriction. The high training volumes require optimal nutrition with increased energy and dietary protein requirement to stimulate muscle protein synthesis response in the post-exercise period. Whether higher protein intake is required in the cold should be investigated. Cross-country skiing is performed mostly in Northern hemisphere with a strong cultural heritage and sporting tradition. It is expected that innovative initiatives on recruitment and training during the next few years will target to enhance performance of Chinese athletes in classical endurance-based winter sport. The innovation potential coupled with resourcing and population may be substantial with the potential for China to become a significant winter sport nation. This paper discusses the physiological aspects of endurance training and performance in winter sport highlighting areas where innovation may advance in athletic performance in cold environments. In addition, to ensure sustainable development of snow sport, a quality ski patrol and rescue system is recommended for the safety of increasing mass participation.
The role of related strategic alliances before mergers and acquisitions
Authors: Brinster Leonhard 
Published: September 2021

AbstractUsing mergers and acquisitions (M&A) deals by companies from the biotechnology and pharmaceutical industry, this study analyzes the role of different types of prior ties between companies. The research distinguishes related alliances into direct and indirect alliances. Related alliances provide access to more information and can reduce transaction costs. The reduction of such costs can lead to a more successful target selection and a more efficient transaction process of the M&A deal because the time from announcement to completion can be reduced. This effect can be explained by trust-building, better access to private information, and certification through related alliances. However, in contrast to other studies, this study does not find statistically significant evidence that supports the hypothesis that alliances increase the post-M&A performance and that alliances are associated with higher announcement returns.
Prevalence of Intimate Partner Violence Among Men Who Have Sex With Men: An Updated Systematic Review and Meta-Analysis
Authors: Liu Min , Cai Xianghao , Hao Guang , Li Wenhao , Chen Qingshan , Chen Yuhan , Xiong Peng 
Published: September 2021

Abstract

Introduction
Intimate partner violence (IPV) among men who have sex with men (MSM) has become a serious and widespread public health issue, which might result in low quality of life and increase the global burden of diseases.

Aim
To quantitatively estimate the pooled prevalence of IPV and its specific forms (physical violence, sexual violence and emotional violence) among MSM.

Methods
Databases of PubMed, Cochrane Library, CINAHL, MEDLINE, PsycINFO, CNKI, WANFANG Data, and Weipu (CQVIP) Data were searched for identified studies published between January 1990 and August 2020. Random effect meta-analyses were used to synthesize the pooled prevalence and 95% CIs of IPV.

Main Outcome Measures
The pooled prevalence of IPV in victimization and in perpetration among MSM.

Results
A total of 52 studies with 32,048 participants were included for final analysis. The pooled prevalence of IPV was 33% (6,342 of 19,873; 95%CI, 28–39%) in victimization and 29% (1,491 of 5,983; 95%CI, 17 –40%) in perpetration across all recall periods among MSM population. Furthermore, the pooled prevalence of physical violence was 17% (3,979 of 22,928; 95%CI, 14 –20%) and 12% (942 of 9,236; 95%CI, 10 –15%), of sexual violence was 9% (1,527 of 19,511; 95%CI, 8 –11%) and 4% (324 of 8,044; 95%CI, 3 –5%), of emotional violence was 33% (5,147 of 17,994; 95%CI, 25 –40%) and 41% (1,317 of 3,811; 95%CI, 17 –65%) in victimization and perpetration, respectively. Out of all the IPV identified, emotional violence was estimated at the highest level.

Conclusion
This study demonstrated a high prevalence of IPV both in victimization and perpetration among MSM, and emotional violence was estimated at the highest level out of all IPV forms. Efforts are needed to develop corresponding prevention programs for victims with an intent to increase the accessible availability of health services, and ultimately improve their life quality.
Postdischarge prophylactic antibiotics following mastectomy with and without breast reconstruction
Authors: Warren David K. , Peacock Kate M. , Nickel Katelin B. , Fraser Victoria J. , Olsen Margaret A. ,   for the CDC Prevention Epicenter Program
Published: September 2021

AbstractBackground:Prophylactic antibiotics are commonly prescribed at discharge for mastectomy, despite guidelines recommending against this practice. We investigated factors associated with postdischarge prophylactic antibiotic use after mastectomy with and without immediate reconstruction and the impact on surgical-site infection (SSI).Study design:We studied a cohort of women aged 18–64 years undergoing mastectomy between January 1, 2010, and June 30, 2015, using the MarketScan commercial database. Patients with nonsurgical perioperative infections were excluded. Postdischarge oral antibiotics were identified from outpatient drug claims. SSI was defined usingInternational Classification of Diseases, Ninth Edition, Clinical Modification(ICD-9-CM) diagnosis codes. Generalized linear models were used to determine factors associated with postdischarge prophylactic antibiotic use and SSI.Results:The cohort included 38,793 procedures; 24,818 (64%) with immediate reconstruction. Prophylactic antibiotics were prescribed after discharge after 2,688 mastectomy-only procedures (19.2%) and 17,807 mastectomies with immediate reconstruction (71.8%). The 90-day incidence of SSI was 3.5% after mastectomy only and 8.8% after mastectomy with immediate reconstruction. Antibiotics with anti–methicillin-sensitiveStaphylococcus aureus(MSSA) activity were associated with decreased SSI risk after mastectomy only (adjusted relative risk [aRR], 0.74; 95% confidence interval [CI], 0.55–0.99) and mastectomy with immediate reconstruction (aRR, 0.80; 95% CI, 0.73–0.88), respectively. The numbers needed to treat to prevent 1 additional SSI were 107 and 48, respectively.Conclusions:Postdischarge prophylactic antibiotics were common after mastectomy. Anti-MSSA antibiotics were associated with decreased risk of SSI for patients who had mastectomy only and those who had mastectomy with immediate reconstruction. The high numbers needed to treat suggest that potential benefits of postdischarge antibiotics should be weighed against potential harms associated with antibiotic overuse.
Research on frog-inspired swimming robot driven by pneumatic muscles
Authors: Fan Jizhuang , Wang Shuqi , Wang Yi , Li Ge , Zhao Jie , Liu Gangfeng 
Published: September 2021

AbstractThis article designs a frog-inspired swimming robot based on pneumatic muscles. The musculoskeletal characteristics of the frog are refined and used as the basis for the design of the robot joint structure and movement mode. The posture adjustment module, joint water seal, and power system are designed to meet the robot’s motion requirements, and the structure optimization design of the robot is completed by combining simulation analysis. The body length of the robot is about 710 mm, and the overall mass is 10 kg. Combining the structural characteristics of the robot, the control system is built to realize the frog-like motion. The robot’s propulsion speed is about 0.6 m/s, the propulsion distance reaches 2.4 m, the turning angle is 30°, and the turning radius is 0.6 m. The prototype experiment verifies the rationality of the frog-inspired swimming robot structure design and the reliability of the control system and water seal.
Livelihood vulnerability increases human–wildlife interactions
Authors: Pereira Joana , Rosalino Luís Miguel , Mucova Serafino , Massangue Yasalde , Abdulrazak Murchide , Vahossa Somar , Selemane Mouzinho , Fonseca Carlos , Santos Maria João 
Published: September 2021

SummaryHuman–wildlife interactions (HWIs) occur in many rural African communities, with potential impacts on livelihood vulnerability. High livelihood vulnerability may force communities to employ strategies that increase the risk of negative HWIs, yet the extent to which HWIs drive or are driven by vulnerability is unclear. We hypothesized that more vulnerable households are more likely to be exposed to wildlife and experience negative interactions. To test this hypothesis, we calculated the Livelihood Vulnerability Index (LVI) of rural households in and around Quirimbas National Park (north-eastern Mozambique) and assessed whether there is a link between livelihood vulnerability and HWIs. We found a two-way association between LVI and HWIs, with more vulnerable households indeed taking greater risks and encountering wildlife when fetching water from rivers, whereas less vulnerable households tended not to employ strategies likely to increase wildlife encounters. We also observed that HWIs exert a strong effect on livelihood vulnerability, suggesting that HWIs should be included as an exposure factor in vulnerability assessments for rural households. We recommend that livelihood strategies and community vulnerability should be considered when designing HWI mitigation schemes and implementing conservation measures.
Anger and predictors of drop-out from PTSD treatment of veterans and first responders
Authors: Hinton Emily , Steel Zachary , Hilbrink Dominic , Berle David 
Published: September 2021

AbstractBackground:Drop-out is an important barrier in treating post-traumatic stress disorder (PTSD) with consequences that negatively impact clients, clinicians and mental health services as a whole. Anger is a common experience in people with PTSD and is more prevalent in military veterans. To date, no research has examined if anger may predict drop-out in military veterans or first responders.Aims:The present study aimed to determine the variables that predict drop-out among individuals receiving residential treatment for PTSD.Method:Ninety-five military veterans and first responders completed pre-treatment measures of PTSD symptom severity, depression, anxiety, anger, and demographic variables. Logistic regression analyses were used to determine if these variables predicted drop-out from treatment or patterns of attendance.Results:Female gender was predictive of drop-out. However, when analysed by occupation female gender was predictive of drop-out among first responders and younger age was predictive of drop-out in military participants. Anger, depression, anxiety and PTSD symptom severity were not predictive of drop-out in any of the analyses. No variables were found to predict attendance patterns (consistent or inconsistent) or early versus late drop-out from the programme.Conclusion:These results suggest that although anger is a relevant issue for treating PTSD, other factors may be more pertinent to drop-out, particularly in this sample. In contrast with other findings, female gender was predictive of drop-out in this study. This may indicate that in this sample, there are unique characteristics and possible interacting variables that warrant exploration in future research.
Equivalency of In-Person Versus Remote Assessment: WISC-V and KTEA-3 Performance in Clinically Referred Children and Adolescents
Authors: Hamner Taralee , Salorio Cynthia F. , Kalb Luther , Jacobson Lisa A. 
Published: September 2021

AbstractObjective:Teletesting has the potential to reduce numerous barriers to patient care which have only become exacerbated during the COVID-19 pandemic. Although telehealth is commonly utilized throughout medicine and mental health practices, teletesting has remained limited within cognitive and academic evaluations. This may be largely due to concern for the validity of test administration via remote assessment. This cross-sectional study examined the equivalency of cognitive [Wechsler Intelligence Scales for Children – Fifth Edition (WISC-V)] and academic [Kaufman Test of Educational Achievement – Third Edition (KTEA-3)] subtests administered via either teletesting or traditional in-person testing within clinically referred youth.Method:Chart review using a retrospective, cross-sectional design included a total of 893 children and adolescents, ranging from 4 to 17 years (Mean age = 10.2 years, SD = 2.9 years) who were administered at least one subtest from the aforementioned cognitive or academic assessments. Of these, 285 received teletesting, with the remaining (n = 608) receiving in-person assessment. A total of seven subtests (five from the WISC-V and two from the KTEA-3) were examined. A series of inverse probability of exposure weighted (IPEW) linear regression models examined differences between groups for each of the seven subtests after adjustment for numerous demographic, diagnostic, and parent-reported symptom variables.Results:Only two significant differences were found, such that WISC-V Visual Puzzles (p < .01) and KTEA-3 Math Concepts (p = .03) scores were slightly higher in the teletesting versus in-person groups. However, these differences were quite small in magnitude (WISC-V Visual Puzzles, d = .33, KTEA-3 Math Concepts, d = .18).Conclusions:Findings indicate equivalency across methods of service delivery without clinically meaningful differences in scores among referred pediatric patients.
Nonground Abductive Logic Programming with Probabilistic Integrity Constraints
Authors: BELLODI ELENA , GAVANELLI MARCO , ZESE RICCARDO , LAMMA EVELINA , RIGUZZI FABRIZIO 
Published: September 2021

AbstractUncertain information is being taken into account in an increasing number of application fields. In the meantime, abduction has been proved a powerful tool for handling hypothetical reasoning and incomplete knowledge. Probabilistic logical models are a suitable framework to handle uncertain information, and in the last decade many probabilistic logical languages have been proposed, as well as inference and learning systems for them. In the realm of Abductive Logic Programming (ALP), a variety of proof procedures have been defined as well. In this paper, we consider a richer logic language, coping with probabilistic abduction with variables. In particular, we consider an ALP program enriched with integrity constraints à la IFF, possibly annotated with a probability value. We first present the overall abductive language and its semantics according to the Distribution Semantics. We then introduce a proof procedure, obtained by extending one previously presented, and prove its soundness and completeness.
GRZEGORCZYK POINTS AND FILTERS IN BOOLEAN CONTACT ALGEBRAS
Authors: GRUSZCZYŃSKI RAFAŁ , PIETRUSZCZAK ANDRZEJ 
Published: September 2021

AbstractThe purpose of this paper is to compare the notion of a Grzegorczyk point introduced in [19] (and thoroughly investigated in [3, 14, 16, 18]) to the standard notions of a filter in Boolean algebras and round filter in Boolean contact algebras. In particular, we compare Grzegorczyk points to filters and ultrafilters of atomic and atomless algebras. We also prove how a certain extra axiom influences topological spaces for Grzegorczyk contact algebras. Last but not least, we do not refrain from a philosophical interpretation of the results from the paper.