bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS BISNIS MODEL KANVAS PRODUK HIJAB ONLINE SHOP (STUDI KASUS @NEEDHIJAB.MKS)
Authors: Intan ratu permata  , Daga Rosnaini 
Published: September 2022

Penelitian ini Bisnis Model Kanvas Produk Hijab Online Shop (Studi Kasus Usaha Needhijab.mks) Penelitian ini bertujuan untuk mengetahui dan menganalisis Bisnis Model Kanvas Produk Hijab Online Shop (Studi Kasus Usaha Needhijab,mks)
Pengumpulan data dilakukan dengan menggunakan strategi Bisnis Model Kanvas yang dianalisa melalui Sembilan elemen Bisnis Model Kanvas, kemudian diperoleh hasil menggunakan Teknik Analaisis SWOT. Dari Analisis SWOT yang telah dilakukan pada elemen Bisnis Model Kanvas ditemukan keunggulan, kelemahan, peluang, dan ancaman pada usaha yang dimiliki saat ini. Faktor Internal : Strengths: Pemasaran dan produk yang baik ,Memiliki pelanggan yang loyal, Bekerjasama dengan distributor hijab, Memiliki sumber daya yang mengetahui akan trend fashion. Weaknesses : Keterbatasan modal dalam Pemasaran Produk , Pemasaran hanya dari mouth to mouth, Promosi media sosial hanya satu kali endorsement influencer. Hanya bekerja sama pada 1 distributor hijab, Mengandalkan sistem pre order jika barang yang diinginkan pelanggan belum tersedia. Kurangnya sumber daya manusia yang berpengalaman. Faktor Eksternal : Opportunity : Kewajiban wanita muslimah untuk menggunakan hijab, Harga mahal, untuk produk hijab di mall mall besar dengan mengandalkan merek produk dan Meningkatnya minat belanja online masyarakat Strategi SO Selalu memberikan dan menyediakan hijab dengan kualitas terbaik, Memiliki sumber daya yang baik dan mengerti akan fashion Strategi WO Fast respon terhadap customer dengan pelayanan 24 jam Threats : Pesaing yang memiliki konsep bisnis yang sama dengan pemasaran iklan yang banyak, Customer cenderung lebih menyukai barang yang sudah ready stock dibandingkan harus menunggu beberapa hari lagi hingga barangnya tersedia Strategi TO : Menginformasikan kepada customer bahwa produk hijab Needhijab,mks merupakan produk yang berkualitas dan layak untuk dibeli, Ada dukungan dari supplier untuk memberikan harga bersaing sehingga harga jual produk lebih kompetitif, Melakukan media promosi yaitu pembagian brosur
Indicación de cambio de terapia de reemplazo renal de diálisis peritoneal a hemodiálisis crónica en pacientes de un hospital de segundo nivel.
Authors: Rodríguez López Ervin , Ortiz López Christian Roberto , Ayala García Isaí 
Published: September 2022

Introduction: The Mexicas Institute of Social Security (IMSS) has registered more than 60 thousand patients in renal replacement therapy (RRT): 41.7% in hemodialysis programs and 58.3% in peritoneal dialysis (PD). This observational study describes the etiologies of the change from renal replacement therapy from peritoneal dialysis to hemodialysis in a group of patients in a second-level hospital in Mexico City.
Methods: The present observational study was conducted at the Regional General Hospital Number 1, "Dr. Carlos Mac Gregor Sánchez Navarro," of the IMSS, from February 2017 to March 2019. Patients with RRT with PD were included. Descriptive population variables and the etiology of the RRT change were determined. The sample was non-probabilistic. A univariate analysis is performed with measures of central tendency, frequencies, and percentages.
Results: 122 patients were included, 57.38% men, 54.57 ± 15.6 years of age. 57.38% remained on PD for more than one year. 90.16% had a family support network, and 52.46% had primary schooling. The average number of days of stay was 9.59 days. The primary etiology of the change in RRT was peritonitis, complex abdominal surgery (19.7%), adhesions and peritoneal sclerosis (19.67%), low-efficiency dialysis (16.39%), and wall defects or pleural communication (11.48%).
Conclusions: Infection of the peritoneal cavity and loss of peritoneal function were the leading causes of change in RRT.
Modifikasi Intelegensi dan Berpikir Kritis dalam Memecahkan Masalah
Authors: Fauziah Erna , Kuntoro Tri 
Published: September 2022

Tujuan penelitian ini adalah untuk menganalisis kemampuan pemecahan masalah matematik dan respon mahasiswa terhadap pembelajaran matematika melalui media pembelajaran Games Asah Otak Modifikasi Berpikir Kritis. Penelitian ini dilaksanakan di Brain Academy Ruangguru Duren Sawit Jakarta Timur. Metode penelitian yang digunakan adalah quasi-eksperimen dengan desain penelitian Two Group Randomized Subject Posttest Only Design dengan tambahan hasil observasi. Subyek penelitian berjumlah 65 siswa, 35 siswa kelas eksperimen dan 30 siswa kelas kontrol yang diperoleh dengan teknik cluster random sampling. Kemampuan Pemecahan dan respon siswa diukur dengan menggunakan observasi, angket dan test. Hasil penelitian mengungkapkan bahwa secara deskripsi, media pembelajaran Games Asah Otak Modifikasi Berpikir Kritis berpengaruh terhadap kemampuan pemecahan masalah matematik. kemampuan pemecahan masalah matematik yang diajarkan dengan media pembelajaran Games Asah Otak Modifikasi Berpikir Kritis lebih baik daripada siswa yang diajarkan dengan cara biasa. Siswa menunjukkan respon positif yang sangat kuat terhadap penggunaan media pembelajaran Games Asah Otak Modifikasi Berpikir Kritis dalam pembelajaran matematika.
Barriers of Good Corporate Governance Practices: Evidence from Emerging Economy
Authors: Liu Yin 
Published: September 2022

Corporate governance (CG) is often split among rule and principle-based methods to regulation in distinctive institutional contexts. CG practices are divergent among countries due to differences in their institutional environments. Therefore, the purpose of this study is to identify the barriers of CG practices and compliance in Pakistan. The primary data is collected from 105 Pakistan Stock Exchange (PSX) listed firms through survey questionnaire. The study employed the exploratory factor analysis (EFA) to identify the barriers of good CG practices and compliance in Pakistan.
Using exploratory factor analysis (EFA), this study identified five major barriers, i.e. firm level barriers (lack of auditor independence, board ineffectiveness, lack of shareholders’ awareness), external barriers (political and governmental interference in business activities, weak legal control and enforcement, high levels of corruption), social barriers (strong social ties among different stakeholders, interpersonal connections among boards of directors (BoDs), education and training barriers (lack of professional education and training among stakeholders) and legal barriers (fewer voting rights) which restrain good CG practices in Pakistan.
The study contributes to existing CG literature and highlights the barriers which hinder the good CG practices and compliance, especially in the context of Pakistan. The findings are applicable to other emerging markets especially in Asian countries due to similar socio-economic environment.
Semen Quality Following Long-term Occupational Exposure to Formaldehyde in China
Authors: Lv Mo-qi , Wang Hai-xu , Yang Yan-qi , Sun Rui-fang , Ge Pan , Zhang Jian , Zhao Wen-bao , Han Shui-ping , Zhou Dang-xia 
Published: September 2022

ImportanceThe potential effects of long-term occupational exposure to formaldehyde (FA) on human semen quality is not clear.ObjectiveTo assess whether long-term occupational exposure to FA is associated with semen quality.Design, Setting, and ParticipantsThis population-based cohort study was conducted from June 1 to June 30, 2021, in Xi’an, China. Participants were adults aged 23 to 40 years who had lived in the study area for 24 months or longer. Data analysis was performed from September 1 to October 1, 2021.ExposuresLong-term occupational exposure to FA was measured using a formaldehyde detector, and the FA exposure index (FEI) was calculated as follows: FEI = final concentration of FA (mg/m3) × work time during a workday (hour) × cumulative workdays (year).Main Outcomes and MeasuresSemen samples were collected by masturbation after 3 to 7 days of abstinence and were then assessed by the computer-automated semen analysis system, Baso-Papanicolaou staining, and sperm-chromatin structure assay.ResultsA total of 205 men (mean [SD] age, 29.49 [3.64] years), with 124 individuals in the FA exposure group (mean [SD] FEI, 73.72 [54.86]) and 81 age-matched controls, were included in the final analysis. Long-term personal occupational exposure to FA was significantly associated with poor semen quality. Specifically, a 1-unit increase in FEI was associated with a change of −0.99% (95% CI, −1.00% to −0.98%) in total sperm motility, −0.99% (95% CI, −0.99% to −0.97%) in progressive sperm motility, −0.05% (95% CI, −0.08% to −0.02%) in curvilinear velocity, −0.07% (95% CI, −0.10% to −0.04%) in straight line velocity, −0.07% (95% CI, −0.10% to −0.04%) in time-average velocity, −0.98% (95% CI, −0.99% to −0.93%) in normal sperm morphology, −0.24% (95% CI, −0.35% to −0.11%) in seminal neutral glucosidase, −0.61% (95% CI, −0.66% to −0.56%) in seminal plasma zinc, 0.52% (95% CI, 0.15% to 1.02%) in beat cross frequency, and 0.10% (95% CI, 0.06% to 0.14%) in the DNA fragmentation index. These associations remained significant after adjusting for confounding factors. Furthermore, subgroup analysis found that high levels of oxidative stress might promote the associations between FA exposure and semen quality.Conclusions and RelevanceThis study found an association between long-term occupational exposure to FA and semen quality. This deterioration was dose and time dependent and might be induced by oxidative stress.
Associations of Depression, Anxiety, Worry, Perceived Stress, and Loneliness Prior to Infection With Risk of Post–COVID-19 Conditions
Authors: Wang Siwen , Quan Luwei , Chavarro Jorge E. , Slopen Natalie , Kubzansky Laura D. , Koenen Karestan C. , Kang Jae Hee , Weisskopf Marc G. , Branch-Elliman Westyn , Roberts Andrea L. 
Published: September 2022

ImportanceFew risk factors for long-lasting (≥4 weeks) COVID-19 symptoms have been identified.ObjectiveTo determine whether high levels of psychological distress before SARS-CoV-2 infection, characterized by depression, anxiety, worry, perceived stress, and loneliness, are prospectively associated with increased risk of developing post–COVID-19 conditions (sometimes called long COVID).Design, Setting, and ParticipantsThis prospective cohort study used data from 3 large ongoing, predominantly female cohorts: Nurses’ Health Study II, Nurses’ Health Study 3, and the Growing Up Today Study. Between April 2020 and November 2021, participants were followed up with periodic surveys. Participants were included if they reported no current or prior SARS-CoV-2 infection at the April 2020 baseline survey when distress was assessed and returned 1 or more follow-up questionnaires.ExposuresDepression, anxiety, worry about COVID-19, perceived stress, and loneliness were measured at study baseline early in the pandemic, before SARS-CoV-2 infection, using validated questionnaires.Main Outcomes and MeasuresSARS-CoV-2 infection was self-reported during each of 6 monthly and then quarterly follow-up questionnaires. COVID-19–related symptoms lasting 4 weeks or longer and daily life impairment due to these symptoms were self-reported on the final questionnaire, 1 year after baseline.ResultsOf 54 960 participants, 38.0% (n = 20 902) were active health care workers, and 96.6% (n = 53 107) were female; the mean (SD) age was 57.5 (13.8) years. Six percent (3193 participants) reported a positive SARS-CoV-2 test result during follow-up (1-47 weeks after baseline). Among these, probable depression (risk ratio [RR], 1.32; 95% CI = 1.12-1.55), probable anxiety (RR = 1.42; 95% CI, 1.23-1.65), worry about COVID-19 (RR, 1.37; 95% CI, 1.17-1.61), perceived stress (highest vs lowest quartile: RR, 1.46; 95% CI, 1.18-1.81), and loneliness (RR, 1.32; 95% CI, 1.08-1.61) were each associated with post–COVID-19 conditions (1403 cases) in generalized estimating equation models adjusted for sociodemographic factors, health behaviors, and comorbidities. Participants with 2 or more types of distress prior to infection were at nearly 50% increased risk for post–COVID-19 conditions (RR, 1.49; 95% CI, 1.23-1.80). All types of distress were associated with increased risk of daily life impairment (783 cases) among individuals with post–COVID-19 conditions (RR range, 1.15-1.51).Conclusions and RelevanceThe findings of this study suggest that preinfection psychological distress may be a risk factor for post–COVID-19 conditions in individuals with SARS-CoV-2 infection. Future work should examine the biobehavioral mechanism linking psychological distress with persistent postinfection symptoms.
Real-time Tracking and Classification of Tumor and Nontumor Tissue in Upper Gastrointestinal Cancers Using Diffuse Reflectance Spectroscopy for Resection Margin Assessment
Authors: Nazarian Scarlet , Gkouzionis Ioannis , Kawka Michal , Jamroziak Marta , Lloyd Josephine , Darzi Ara , Patel Nisha , Elson Daniel S. , Peters Christopher J. 
Published: September 2022

ImportanceCancers of the upper gastrointestinal tract remain a major contributor to the global cancer burden. The accurate mapping of tumor margins is of particular importance for curative cancer resection and improvement in overall survival. Current mapping techniques preclude a full resection margin assessment in real time.ObjectiveTo evaluate whether diffuse reflectance spectroscopy (DRS) on gastric and esophageal cancer specimens can differentiate tissue types and provide real-time feedback to the operator.Design, Setting, and ParticipantsThis was a prospective ex vivo validation study. Patients undergoing esophageal or gastric cancer resection were prospectively recruited into the study between July 2020 and July 2021 at Hammersmith Hospital in London, United Kingdom. Tissue specimens were included for patients undergoing elective surgery for either esophageal carcinoma (adenocarcinoma or squamous cell carcinoma) or gastric adenocarcinoma.ExposuresA handheld DRS probe and tracking system was used on freshly resected ex vivo tissue to obtain spectral data. Binary classification, following histopathological validation, was performed using 4 supervised machine learning classifiers.Main Outcomes and MeasuresData were divided into training and testing sets using a stratified 5-fold cross-validation method. Machine learning classifiers were evaluated in terms of sensitivity, specificity, overall accuracy, and the area under the curve.ResultsOf 34 included patients, 22 (65%) were male, and the median (range) age was 68 (35-89) years. A total of 14 097 mean spectra for normal and cancerous tissue were collected. For normal vs cancer tissue, the machine learning classifier achieved a mean (SD) overall diagnostic accuracy of 93.86% (0.66) for stomach tissue and 96.22% (0.50) for esophageal tissue and achieved a mean (SD) sensitivity and specificity of 91.31% (1.5) and 95.13% (0.8), respectively, for stomach tissue and of 94.60% (0.9) and 97.28% (0.6) for esophagus tissue. Real-time tissue tracking and classification was achieved and presented live on screen.Conclusions and RelevanceThis study provides ex vivo validation of the DRS technology for real-time differentiation of gastric and esophageal cancer from healthy tissue using machine learning with high accuracy. As such, it is a step toward the development of a real-time in vivo tumor mapping tool for esophageal and gastric cancers that can aid decision-making of resection margins intraoperatively.
Promoting endoscopists' health through cutting-edge motion analysis technology: Accuracy and precision of ergonomic motion tracking system for endoscopy suite (EMTES)
Authors: Ono Hiroaki , Hori Yasuki , Tsunemi Mafu , Matsuzaki Ippei , Hayashi Kazuki , Kamijima Michihiro , Ebara Takeshi 
Published: September 2022

Abstract

Objectives
Endoscopists often suffer from musculoskeletal disorders due to posture-specific workloads imposed by precise maneuvering or long procedural duration. An ergonomic motion tracking system for endoscopy suite (EMTES) was developed using Azure Kinect sensors to evaluate the occlusion, accuracy, and precision, focusing mainly on upper and lower limb movements.

Methods
Three healthy male participants pointed the prescribed points for 5 s on the designated work envelopes and their coordinates were measured. The mean occlusion rate (%) of the 32 motion tracking landmarks, standard deviation (SD) of distance and orientation, and partial regression coefficient (β) and R2 model fit for accuracy were calculated using the time series of coordinates data of the upper/lower limb movements.

Results
The mean occlusion rate was 5.2 ± 10.6% and 1.6 ± 1.4% for upper and lower limb movements, respectively. Of the 32 landmarks, 28 (87.5%) had occlusion rates of 10% or less. The mean SDs of 4.2 mm for distance and 1.2° for orientation were found. Most of the R2 values were over 0.9. In the case of right upper/lower limb measurement for orientation, β coefficients ranged from 0.82 to 1.36.

Conclusion
EMTES is reliable in calculating occlusion, precision, and accuracy for practical motion-tracking measurements in endoscopists.
Dynamic FDG‐PET demonstration of functional brain abnormalities
Authors: Quigg Mark , Kundu Bijoy 
Published: September 2022

AbstractPositron emission tomography with fluorine‐18 fluorodeoxyglucose (18F‐FDG‐PET) has been used over 3 decades to map patterns of brain glucose metabolism to evaluate normal brain function or demonstrate abnormalities of metabolism in brain disorders. Traditional PET maps patterns of absolute tracer uptake but has demonstrated shortcomings in disorders such as brain neoplasm or focal epilepsy in the ability to resolve normally from pathological tissue. In this review, we describe an alternative process of metabolic mapping, dynamic PET. This new technology quantifies the dynamics of tracer uptake and decays with the goal of improving the functional mapping of the desired metabolic activity in the target organ. We discuss technical implementation and findings of initial pilot studies in brain tumor treatment and epilepsy surgery.
Relation of nonlinear oscillator design based on phase reduction method and fractional derivative
Authors: Hongu Junichi , Iba Daisuke 
Published: September 2022

SummaryFor wide application of the synchronization properties of nonlinear oscillators in control and signal processing engineering field, a common design method for nonlinear oscillator models is required. The output response of a nonlinear oscillator excited by a periodic signal implicitly includes information on both the instantaneous phase and the amplitude of the input signal. The design of a nonlinear oscillator model that can synchronize with an arbitrary cyclic phenomenon can be enabled by explicitly expressing the dynamics of both phase and amplitude with the phase reduction method and organizing them by the number of events in one period. Assuming the cyclic phenomenon to be a single periodic signal, the properties of the generalized nonlinear oscillator model depend on the phase resolution of the signal, which is associated with the phase‐shift of fractional calculus. Thus, this study verifies the validity of fractional calculus through the input‐output characteristic of the generalized nonlinear oscillator model. Numerical simulation using a fractional differentiator with backward‐difference demonstrated that increasing the phase resolution of a single periodic signal improves the estimation accuracy of the phase and amplitude of the signal by employing a generalized nonlinear oscillator model.
Alkaline‐Earth‐Metal‐Ions Blending Enhanced Self‐Activated and Bi3+‐Activated Mechanoluminescence from Ca1‐xBaxZnOS
Authors: Jia Jingna , Gao Xuwen , Zou Guizheng 
Published: September 2022

AbstractThe self‐activated mechanoluminescence (ML) of oxysulfides MZnOS (M = Ca, Sr, Ba) is very weak, and bright ML from these hosts is usually achieved with activator‐doping strategy. Herein, a promising alkaline‐earth‐metal‐ion blending strategy, instead of activator doping, is proposed to achieve intense and self‐activated ML from MZnOS. Upon partially substituting the Ca2+ of CaZnOS with Ba2+ and vice versa, intense and eye‐visible ML is achieved via exerting a small mechanical stimulus of 2 N onto the obtained Ca1‐xBaxZnOS (0 < x < 1). The luminescence center for ML of Ca1‐xBaxZnOS is intrinsic oxygen vacancy, so that Ca1‐xBaxZnOS can give off efficient and self‐activated ML. Under optimum conditions, the maximum ML emission of Ca0.84Ba0.16ZnOS is about 50‐folds and 170‐folds to that of CaZnOS and BaZnOS, respectively. Promisingly, Bi3+ can be incorporated into the lattice of Ca1‐xBaxZnOS, transferring ML center from the oxygen defects of Ca1‐xBaxZnOS to the activator of Ca0.96‐xBaxZnOS:Bi0.04, and eventually enable further enhanced ML by about twofolds. This alkaline‐earth‐metal‐ion blending strategy can also enhance Bi3+‐activated ML from M0.96ZnOS:Bi0.04, the maximum emission for ML of Ca0.80Ba0.16ZnOS:Bi0.04 is 36‐folds and 38 folds to that of Ca0.96ZnOS:Bi0.04 and Ba0.96ZnOS:Bi0.04, respectively. This work opens an avenue to develop new ML hosts and luminophores with efficient emission.
Magnetized Microcilia Array‐Based Self‐Powered Electronic Skin for Micro‐Scaled 3D Morphology Recognition and High‐capacity Communication
Authors: Zhou Qian , Ji Bing , Hu Fengming , Dai Ziyi , Ding Sen , Yang Hao , Zhong Junwen , Qiao Yancong , Zhou Jianhua , Luo Jianyi , Zhou Bingpu 
Published: September 2022

AbstractElectronic skin (e‐skin), which mimics the tactile perception as human skin, is of interest to advance robotics, prosthetics, and human‐machine interactions (HMI). However, the construction of artificial e‐skin with the simulated function of morphology recognition and stimuli response remains challenging. Here, the design of a multifunctional and self‐powered e‐skin system based on the whisker‐like magnetized micro‐cilia array (MMCA) and the underneath flexible coils is reported. Owing to the excellent flexibility of the MMCA, the adaptive micro‐cilia bending can be produced according to the tactile inputs or surface morphologies. With built‐in magnetic moments, the MMCA deformation thus alters the magnetic flux distribution, which induces an electromotive force (voltage) in the coils for pressure detection and quantitative recognition of micro‐scaled 3D morphologies. It is shown that using the distinct voltage intensities and waveforms, the optimized e‐skin can be applied for real‐time healthcare monitoring, Braille identification, and reconstruction of relief information. By customizing the magnetic moment alignments in MMCA, one e‐skin device can further produce distinguishable signals to build up multi‐commands for efficient HMI, e.g., underwater Morse code communication. Along with temperature tolerance and environmental immunity, the e‐skin exhibits the potential to serve as an effective channel for intelligent 3D topology recognition and high‐capacity communications.