bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promotion vs. Prevention Regulatory Focus in Physical Therapy Students
Authors: LaCroix Kelli L. , Nakkawita Emily , Fisher Steve R. , Higgins E. Tory , Brown David A. 
Published: January 2023

Abstract
Effective communication that encourages patient participation and maximizes rehabilitation outcomes is a primary goal in physical therapy (PT) education. A framework that provides insight into individual conceptualization of rehabilitation goals and strategies is Regulatory Focus Theory, which examines motivation stemming from two self-regulatory systems: promotion (i.e., concerns with nurturance, progress, and attaining gains vs. non-gains) and prevention (i.e., concerns with security, safety, and maintaining non-losses vs. losses). We distributed questionnaires assessing promotion (vs. prevention) predominance both personally and in a rehabilitation context, as well as sociodemographic data, to 116 Doctor of Physical Therapy students. On average, students were promotion (vs. prevention) predominant in their personal lives, with predominance scores varying as a function of sex. Males exhibited a predominant personal promotion focus, while females showed a relative balance between personal promotion versus prevention concerns. In contrast, when framed as working with patients in a rehabilitation context, females demonstrated a promotion focus, whereas promotion and prevention concerns were balanced in males. As suggested by these differences, we found that males and females demonstrated significant shifts in regulatory focus in a goal-setting rehabilitation (vs. personal) context in opposing directions, with females becoming more promotion-predominant and males becoming more prevention-predominant. Additionally, regulatory focus in a rehabilitation context varied as a function of students’ race/ethnicity, reason for choosing PT, and student year. Further studies are needed to investigate how PT curriculum influences motivational predilections in clinical settings, as well as to identify the impact of these motives on patient rehabilitation outcomes.
Blackbrush (Coleogyne ramosissima: ROSACEAE) natural regeneration following fire in the Great Basin - Mojave Transition Zone
Authors: Gentilcore Dominic 
Published: January 2023

Abstract

Blackbrush (Coleogyne ramosissima) has rarely been observed naturally regenerating following fire. It was historically considered a paleoendemic species because it did not recolonize following disturbance. In 2008, the Fossil and Jacob fires burned 241 ha of blackbrush in Basin and Range National Monument, Lincoln County, Nevada, USA in the Mojave-Great Basin Desert transition zone. These sites are at the northern boundary of the species range near the top of its current elevational band. Eighteen 5 x 30 m plots within the burned areas were monitored in 2009–2011 and 2018–2022 to assess plant foliar cover and woody plant density. Another 18 plots in adjacent unburned areas were monitored in 2022. Blackbrush seedlings emerged within the first year following fire at higher densities in the burned areas compared to adjacent unburned areas. After an initial flush of seedlings in 2009, there was high seedling mortality in 2010. By 2011, density in the burned areas was 0.35 blackbrush per m2 (46% of density in adjacent unburned areas), but individuals were small and had less than 1% total cover. Upon returning in 2018, the blackbrush that established early following fire had grown, and showed a significant increase in cover to 5.83–10.80%. Cover continued to increase through 2020 peaking at a mean of 12.9% before slighting declining with drought in 2021–2022. The area now has nearly two-thirds the blackbrush density and one-third the cover that adjacent unburned areas have. Blackbrush redominated these burned areas in under 10 years following fire and continues to increase.
Degree based topological indices on 3D structures of antianxiety disorders drugs with QSPR analysis
Authors: Azeem Mehran , Jamil Zafran 
Published: January 2023

Abstract
People around the world have been suffering from anxiety for a long time. This disease affects about millions people worldwide each year. Antianxiety drugs are used to treat this disease.These antianxiety drugs are available in various forms including antidepressants, benzodiazepines, anticonvulsants, antihistamines, and azaperone. Topological indices can provide information about the physicochemical properties and biological properties of molecules in the quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) studies. In this proposed work, various topological indices are defined on some 3D molecular graphs of antianxiety drugs to help the researchers to know the physical characteristics and chemical reaction associated with them. We also discuss the QSPR analysis of twelve degree based topological indices. Furthermore, we calculate the fifth version of geometric arithmetic index and the fourth version of atom-bond connectivity index of 3D graphs. QSPR models are studied using linear regression analysis with topological indices for melting point, boiling point, enthalpy of vaporization, flash point, molar refractivity, polarizability, surface tension, and molar volume properties of these analogs.
A surge in respiratory syncytial virus infection-related hospitalizations associated with the COVID-19 pandemic: An observational study at pediatric emergency referral hospitals in Tokushima Prefecture
Authors: Shichijo Koichi , Fukura Shoko , Takeuchi Shunsuke , Tayama Takahiro , Ono Akemi , Ichihara Yuko , Suga Kenichi , Sato Hiroki , Takechi Atsumi , Matsumoto Sonomi , Fujino Shuji , Taniguchi Takako , Takahashi Akiyoshi , Watanabe Tsutomu , Kondo Shuji 
Published: January 2023

Abstract
Purpose
The outbreak of coronavirus disease (COVID-19) resulted in implementation of social distancing and other public health measures to control the spread of infection and improve prevention, resulting in a decrease in respiratory syncytial virus (RSV) and pediatric respiratory tract infection rates. However, there was a rapid and large re-emergence of RSV infection in Japan. Notably, we were faced with a difficult situation wherein there was a shortage of hospital beds. This study aimed to examine the epidemiological patterns of RSV-related hospitalizations among children before and after the COVID-19 pandemic onset at two pediatric emergency referral hospitals covering the entire Tokushima Prefecture.
Methods
Data were extracted from electronic medical records of children hospitalized with RSV infection between January 1, 2018, and December 31, 2021. All patients meeting the eligibility criteria were included in this study. The rates of study outcomes were documented annually during 2018–2021 and compared between the 2018–2020 and 2021 periods.
Results
In 2020, there was no RSV infection outbreak. In contrast, in 2021, RSV infection rate peaks were observed 1–2 months earlier than those in the previous years. Hospitalizations at the peak week in 2021 were 2.2- and 2.8-fold higher than those in 2018 and 2019, respectively. Hospitalizations in 2021 were concentrated within a short period. In addition, there was a significant increase in hospitalizations among children aged 3–5 months and those older than 24 months. Hospitalizations of children with siblings at home increased. The high-flow nasal cannula (HFNC) use rate nearly doubled in 2021.
Conclusions
A new pandemic in the future may cause an outbreak of RSV infection that can result in an intensive increase in the number of hospitalizations of pediatric patients requiring respiratory support, especially in infants aged < 6 months. There is an urgent need to improve the preparedness of medical systems, particularly in terms of the number of inpatient beds and the immediate availability of HFNC.
Determination of the boundaries of anomaly potential field with analytical signal filter and its orthogonal derivative in Qeshm Island SE Iran
Authors: Hosseini Seyed Aliakbar , Khah Nasser Keshavarz Faraj , Kianoush Pooria , Afzal Peyman , Shakiba Sima 
Published: January 2023

Abstract
The analytical signal method and its derivatives can be explicitly calculated and assessed for analyzing and estimating the boundary of geological structures, such as faults or dikes, from potential field anomalies. Gravity field of the east of Qeshm Island and its north coast from Sarkhoun to Litadan in SE Iran has been measured in one-kilometer regular network. The regional anomaly effects are deducted from the Bouguer anomaly, where it can get the residual anomalies which is the considered dataset used in this study. The Bouguer range is 297 to 330 milligals (mGal) applying filters and modeling. It was revealed that there are five negative anomalies caused by salt penetration in the region. Regional anomalies expectedly have a low spatial frequency and long wavelengths, while the residual anomalies associated with shallow sub-surface potentials have high spatial frequencies and short-wave wavelengths. Two different fault trends were observed comparing the artificial model using MATLAB coding, the real one, and the filtered residual anomaly map of the Qeshm region. Also, another fault trend is suggested in the east height of Oman, which is a possible place of salt penetration. Due to the limited dimensions (120 * 100 km) and the information obtained from the existing drillings, the depth of the anomaly resources can be examined up to 8 km. Due to the gravitational condition between the two domes of Qeshm saline and the bridge located in the Hara saline area, it is suggested to be considered as an area for further oil exploration routines.
Biosecurity breaches on pig farms is associated with the history and spread of African Swine Fever in Nigeria
Authors: Weka Rebecca , Ifende Isioma , Sini Ayuba , Ayuba Philip , Tsokar David , Muhammad Maryam , Vakuru Columba , Adedeji Adeyinka , Jambol Anvou , Muwanika Vincent , Masembe Charles , Luka Pam 
Published: January 2023

Abstract

BackgroundAfrican swine fever (ASF) is a devastating disease of pigs that threatens the livelihood of smallholder pig farmers and the profitability of large-holder pig farmers. Outbreaks are attributed to human activities and practices along the pig value chain. Several outbreaks of ASF occurred in Nigeria in 2020. Hence a questionnaire survey was carried out with one hundred and thirty pig farmers and other stakeholders from 20 pig-producing states of the country on the pig value chain from the 8th– 21stof November 2020. This was to assess farmer knowledge of ASF and biosecurity practices carried out during their business along the pig value chain to suggest or improve control measures for the disease.ResultsThe result showed that 64.4% of the participants had experienced ASF outbreak in 2020. The univariate analysis by Pearson chi-square showed that participants had knowledge of ASF (OR: 9.632, p=0) and how disease spreads (OR: 2.464, p=0.02), and were both significantly (p<0.05) associated with the history of ASF outbreaks. In respect of practices, sharing farm implements (OR: 4.033, p=0.01) and mating boars with other farmers (OR: 2.73, p=0.01) were significantly (p<0.05) associated with the history of ASF outbreak. Logistic regression showed that participants involved with self-medication were three times more likely to have a history of ASF outbreak than those who did not.ConclusionsThe result showed that though stakeholders were knowledgeable about the causes and spread of ASF, they still had poor biosecurity practices that resulted in ASF outbreak in 2020 — implying that as long as the farmers do not practice good biosecurity, ASF outbreak will continue to be a challenge to the pig industry in Nigeria.
Primary anastomosis and suturing combined with vacuum-assisted abdominal closure in patients with secondary peritonitis due to perforation of the small intestine: A retrospective study
Authors: Rajabaleyan Pooya , Jensen Rie Overgaard , Möller Sören , Qvist Niels , Ellebaek Mark Bremholm 
Published: January 2023

Abstract

BackgroundIntestinal resection and a proximal stoma is the preferred surgical approach in patients with severe secondary peritonitis due to perforation of the small intestine. However, proximal stomas may result in significant nutritional problems and long-term parenteral nutrition. This study aimed to assess whether primary anastomosis or suturing of small intestine perforation is feasible and safe using the open abdomen principle with vacuum-assisted abdominal closure (VAC).MethodsBetween January 2005 and June 2018, we performed a retrospective chart review of 20 patients (> 18 years) with diffuse faecal peritonitis caused by small intestinal perforation and treated with primary anastomosis/suturing and subsequent open abdomen with VAC.ResultsThe median age was 65 years (range: 23–90 years). Twelve patients were female (60%). Simple suturing of the small intestinal perforation was performed in three cases and intestinal resection with primary anastomosis in 17 cases. Four patients (20%) died within 90-days postoperatively. Leakage occurred in five cases (25%), and three patients developed an enteroatmospheric fistula (15%). Thirteen of 16 patients (83%) who survived were discharged without a stoma. The rest had a permanent stoma.ConclusionsPrimary suturing or resection with anastomosis of an open abdomen with VAC in small intestinal perforation with severe faecal peritonitis is associated with a high rate of leakage and enteroatmospheric fistula formation.Trial registration:The study was approved by the Danish Patient Safety Authority (case number 3-3013-1555/1)and the Danish Data Protection Agency (file number 18/28404). No funding was received.
Does FinTech promote entrepreneurial intention among women? Studying the mediating role of financial inclusion.
Authors: HAQ ZIA , Dawood Mohsina 
Published: January 2023

Abstract
The most recent innovation to make FinTech more generally accessible and reasonably priced with the primary objective of financial inclusion is Mobile Money (MoMo). This study examines the role of mobile money in arousing entrepreneurial intention among women belonging to northern India, in addition to studying the mediating role of financial inclusion between mobile money and women entrepreneurial intention. The current study addresses Fin Tech (Mobile Money), financial inclusion and women entrepreneurial intention. To undertake the study, we considered 399 respondents and performed structural equation modelling analysis. The outcomes support mobile money as a proxy for FinTech adoption exerts a positive influence on women entrepreneurial intention. Besides, the results indicate that MoMo positively influences financial inclusion. The results also showed a favourable relationship between financial inclusion and women entrepreneurial intention. Furthermore, the estimated model supported the hypothesis, financial inclusion mediates the MoMo and women entrepreneurial intention link.
Machine learning-assisted mapping of city-scale air temperature: Using sparse meteorological data for urban climate modeling and adaptation
Authors: Ding Xiaotian , Zhao Yongling , Fan Yifan , Li Yuguo , Ge Jian 
Published: January 2023

Abstract
The availability of high spatio-temporal resolution of urban air temperature is paramount for understanding urban heat island (UHI) and developing effective mitigation strategies, in particular for local-scale mitigations. Obtaining high spatial resolution of air temperature at city-scale is challenging as the quantity of weather stations is often limited in cities, particularly in those less developed ones. In this study, based on the existing weather station network in Guangzhou city, China, we compare eight different air temperature interpolation models and select one with the best performance to interpolate city-scale air temperature. The training and validation of the models are performed using observatory meteorological data of 321 weather stations in Guangzhou. Deep learning-derived land cover information and social-economic data are encoded to be used as explanatory variables. The regression kriging combined with multiple linear regression is found to result in the best performance, with an average root mean squared error (RMSE) of 0.92℃ and a coefficient of determination (R2) of 0.959. Furthermore, the quantities and locations of current weather stations can be optimized by the proposed model. Guided by the k-means clustering alongside the information of geocoordinates and land cover, the number of current weather stations in Guangzhou can be reduced by 50% (i.e., 160 weather stations) while retaining the model performance. This study proposes and demonstrates an effective model for obtaining city-scale air temperature at high spatio-temporal resolution with data from sparse weather stations, which is much needed for cities which want to enhance their city-scale air temperature mapping by complementing new weather stations to their existing weather station network.
Obstacle based Anchor-FreeNodeLocalization in Under-Water Wireless Sensor Networks
Authors: Dass Ashish Kumar 
Published: January 2023

Abstract

Settle on the position of unknown sensors node called as localization process which is a serious concern in underwater wireless sensor network(UWSN) as it engross for different applications. As the anchor-based technique is expensive as well as very diminutive life-time researchers propose for anchor-free localization algorithms specially by designing a path for an Autonomous Underwater Vehicle (AUV) to maximize the location of accuracy as well as to reduce energy consumption. Many path planning proposals degrade their performance when there exist obstacles in the pathway of AUV. Hence, in this article we proposed a dynamic anchor free AUV based (DAFA) algorithm which determine the obstacle dynamically and change its path in accordance and the observed location of sensors node with accuracy in minimization of error, maximize the nodes settled and with minimum energy consumption. The simulation of the proposed model outperforms better than available traditional algorithms.
Toxic, Genotoxic and Teratogenic Effects of Ibuprofen and its Derivatives
Authors: Yılmaz Serkan , Çalışıcı Dilan , Goktas Bayram 
Published: January 2023

Background:
Nonsteroidal anti-inflammatory drugs (NSAIDs) are extensively used
pharmaceuticals and tons of kilos are produced annually. Ibuprofen is one of the core medicines of
non-steroidal anti-inflammatory drug and is primarily used for reduced pain, fever and tissue inflammation.
It is also available for the treatment of osteoarthritis, rheumatoid arthritis, tendonitis,
etc. It is still one of the most prescribed non-steroidal anti-inflammatory drugs in contemporary
times. Although ibuprofen is a drug that has been used for years, it is also known to have various
serious toxic effects.

Objective:
In this review, we aimed to clarify toxic and genotoxic effects of Ibuprofen by analyzing
major journal indexes.

Methods:
The search was concentrated on the Web of Science, PubMed, Science Direct, Scopus,
EBSCO Host, and Google Scholar databases, including the keyword combinations "genotoxicity",
"toxicity", "teratogenicity", "side effects", "Ibuprofen".

Results:
In the search procedure, a total number of 11738 studies about the topic were reviewed.
Consequently, 42 studies were classified as appropriate according to the inclusion criteria and were
therefore included in the review. The results presented and discussed in this review indicate that
Ibuprofen might represent a toxic, genotoxic and teratogenic risk for non-target, freshwater invertebrates,
vertebrates and toxic for human especially in overdose or misuse situation.

Conclusion:
Ibuprofen generally was found to be toxic, mutagenic, teratogenic and genotoxic
agent in various organisms. In human cases mostly overdose or misuse was found to be toxic. However
acute toxicity was also reported in some human clinical studies. More detailed genotoxicity,
teratogenicity and especially carcinogenic potential should be investigated to reach full decision of
its safety.
Insights on Bioactive Peptide-loaded Nanoformulations
Authors: Krishnaswami Venkateshwaran , Natarajan Balakrishnan , Arthanari Saravanakumar , Suresh Jeseeta , Aranvindaraj Nirmal 
Published: January 2023

Abstract:
In order to tackle multifactorial illnesses, the importance of bioactive peptides in nano drug delivery systems is emphasised. Multifactorial diseases are primarily brought on by protein misfolding. Therefore, pharmaceutical formulations are recommended to deliver a successful treatment. Difficulties hinder its application in delivering raw peptides with poor bioavailability, absorption, and circulation time, making it a difficult assignment for researchers. Recently, bioactive peptides have become increasingly important in therapy. In addition, several bioactive proteins have poor absorption characteristics in the GIT. These issues can be resolved by creating nano-based peptide-based delivery systems that encapsulate, retain, protect, and transport bioactive peptides. The focus of the proposed review paper is to provide an overview of peptides, commercialization concerns, and their related attempts to develop into novel peptide-based nanoformulations.
Implementasi Termometer Non Kontak Digital Berbasis Internet Of Things Untuk Mencegah Penyebaran Covid-19
Authors: Hikmah Laila tul 
Published: January 2023

Saat ini dunia kesehatan sedang digemparkan dengan penemuan virus jenis baru yakni 2019 novel Coronavirus (2019-nCoV). Virus corona mudah menyebar secara contagious. Oleh karena itu, untuk mencegahnya harus melakukan social distancing tidak bersentuhan secara langsung dan isolasi untuk mencegah penularan virus ini. Gejala dari penderita Covid-19 salah satunya yaitu suhu badan yang tinggi >38oC. Sehingga perlu pengecekan suhu secara berkala tanpa bersentuhan langsung (non contact). Â Ditemukan sebuah riset terkait sistem termometer non kontak digital, hanya saja belum menggunakan aplikasi android. Oleh kerena itu, penulis membuat Implementasi Termometer Non Kontak Digital Berbasis Internet Of Things. Dalam penelitian ini penulis merancang termometer untuk suhu tubuh tinggi menggunakan sensor MLX90614 dengan mikrokontroler Node MCU ESP8266, LCD 16x2 sebagai output tampilan, dan buzzer untuk peringatan. Hasil dari pengujian rancang bangun sisem ini dihasilkan untuk hasil pengujian pembacaan akurasi RFID didapat 100% akurat. Hal ini menunjukkan, bahwa RFID berfungsi dengan baik dari hasil yang didapat tepat dengan tingkat akurasi 100%. Hasil komparasi yang dilakukan untuk pembacaan sensor MLX90614 dengan pembacaan termometer inframerah didapat yaitu dengan perhitungan persentase error terdapat 0.5% yang artinya sensor berjalan dengan baik. Hasil data pengujian didapat rata-rata delay dari data keseluruhan yaitu 0.07 s. Sedangkan hasil pengujian throughput didapat nilai rata-rata throughput keseluruhan yaitu 21296.43 kbps.Kata Kunciâ€” Covid-19, Termometer Inframerah, sensor MLX90614, Internet ofÂ Things
Rancang Bangun ELC (Electronic Load Controller) sebagai Pengendali Beban PLTMH (Pembangkit Listrik Tenaga Mikrohidro) Kali Jari
Authors: Utomo Teguh , Ardhenta Lunde , At Tamimi Riswandha Yusuf 
Published: January 2023

Peningkatan kebutuhan listrik dalam rangka peningkatan perkembangan suatu wilayah mengakibatkan peningkatan sumber-sumber tenaga listrik terbarukan. PLTMH merupakan salah satu contoh sumber tenaga listrik terbarukan yang memanfaatkan energi dari laju air dengan kapasitas dibawah 200 kW. Sistem PLTMH diharapkan mampu bekerja secara efisien dan stabil dalam pengendalian beban. Electronic load controller (ELC)Â merupakan salah satu alat penunjang yang berfungsi pengendali beban generator dalam upaya meningkatkan stabilitas dan effisiensi. Pada penelitian ini metode yang digunakan melalui deteksi frekuensi dan arus yang disebabkan oleh perubahan pada beban utama. Hasil dari deteksi frekuensi dan arus yang didapat diolah menggunakan mikrokontroler arduino untuk pensaklaran komponen switching beban komplemen. Pengujian yang dilakukan menunjukkan pemasangan ELC mampu menjaga kestabilan sistem dengan error dibawah 2% yang masih dapat ditoleransi.