bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complex Method of Rehabilitation Therapy after Early Termination of Pregnancy
Authors: Можейко Л.Ф. 
Published: February 2023

Важной составляющей сохранения женского репродуктивного здоровья является предупреждение нежелательной беременности. Известно, что ежегодно в мире 56 млн беременностей заканчиваются медицинским абортом. В Республике Беларусь проблема абортов особенно актуальна, поскольку, по статистике, на каждые 100 беременностей приходится примерно 26,6 аборта, причем в мировом рейтинге Беларусь занимает 5-е место по количеству абортов. Искусственное прерывание нежелательной беременности приводит к серьезным последствиям (бесплодие, невынашивание, нарушения менструального цикла, воспалительные заболевания женских половых органов). Доказано, что дети от матерей с искусственным прерыванием беременности в анамнезе чаще рождаются в состоянии асфиксии, с нарушениями мозгового кровообращения и другой патологией, что способствует увеличению детской заболеваемости и смертности. Более того, осложнения медицинского аборта в структуре материнской заболеваемости и смертности достигают 15–30%. Экономический ущерб от последствий абортов и связанной с ними гинекологической патологии ежегодно составляет 24 трлн бел. руб.
An important component of women’s reproductive health is the prevention of unwanted pregnancies. It is known that annually in the world 56 million pregnancies end in medical abortion. In the Republic of Belarus, the problem of abortion is especially relevant, since according to statistics, there are about 26.6 abortions for every 100 pregnancies, and in the world ranking Belarus ranks 5th in terms of the number of abortions. Artificial termination of an unwanted pregnancy leads to serious consequences (infertility, miscarriage, menstrual irregularities, inflammatory diseases of the female genital organs). It has been proven that children from mothers with a history of artificial termination of pregnancy are more often born in a state of asphyxia, with cerebrovascular accidents and other pathologies, which contributes to an increase in child morbidity and mortality. Moreover, complications of medical abortion in the structure of maternal morbidity and mortality reach 15–30%. The economic damage from the consequences of abortions and associated gynecological pathology annually amounts to 24 trillion rubles.
Miotoksisitas Statin: Kajian Stres Oksidatif
Authors: Zulfahmidah  , Safei Imran , Fajriansyah  
Published: February 2023

Statin adalah keluarga obat yang digunakan untuk mengobati hiperlipidemia dengan kapasitas yang diakui untuk mencegah kejadian penyakit kardiovaskular. Pemanfaatan statin secara luas dibatasi oleh adanya toksisitas atau intoleransi terkait, yang mempengaruhi tingkat pemantauan obat. Toksisitas atau intoleransi statin bervariasi dari 10-15%. Gejala otot terkait statin adalah toksisitas statin (SAMS) yang paling umum. Dalam review ini, kami bertujuan untuk melaporkan mekanisme kerja statin yang menyebabkan gejala otot SAMS. Hasil penelitian menunjukkan bahwa statin menyebabkan disfungsi mitokondria akibat adanya stress oksidatif. Mekanisme terjadinya stress oksidatif akibat statin disebabkan karena adanya inhibisi dari protein ubikuinon, aktivasi iNOS, penurunan biogenesis mitokondria, pengurangan fosforilasi oksidatif mitokondria. Secara keseluruhan, data yang dilaporkan dalam tinjauan ini menunjukkan bahwa statin mungkin memiliki efek besar pada fungsi mitokondria terkait stress oksidatif.
Tamizaje del riesgo de diabetes mellitus tipo 2 en pacientes adultos con diagnóstico de tuberculosis
Authors: Batz-Menchu Gaby Roxana , Rosal-Villagrán Nathalie Paola , Cotom Erick , Coyoy Allan , Hernandez Melbin , Cruz Alegria Carlos Eduardo , Lopez Keila , Velásquez Chávez Jennifer Lizeth , Gómez Monzón Sara Marleny 
Published: February 2023

Objetivo. Realizar un tamizaje del riesgo de Diabetes Mellitus tipo 2 (DM-T2) en pacientes adultos con diagnóstico de tuberculosis, en el Hospital San Vicente, Guatemala, Guatemala. Material y métodos. Estudio descriptivo, cualitativo y prospectivo en 45 pacientes mayores a 18 años, diagnosticados con tuberculosis, sin DM-T2 e ingresados en el Hospital San Vicente. Se utilizó el instrumento test de FINDRISC. Resultados. Los pacientes con mayor riesgo de desarrollar DM-T2 fueron los comprendidos en las edades de 55 a 64 años (riesgo moderado o alto); el 67% (n=30) tenían riesgo muy bajo, el 27% (n=12) tenían riesgo bajo. Discusión. Al determinar el riesgo de desarrollar DM-T2 en los pacientes hospitalizados se logró establecer que la edad de 55 a 64 años es la que evidencia un riesgo moderado y alto de desarrollar DM-T2, por lo que se sugiere la implementación de actividades de prevención a corto, mediano y largo plazo, establecimiento de estilos de vida saludables en los pacientes con tuberculosis del Hospital San Vicente, Guatemala, Guatemala.
On the Possibility of an Event
Authors: Schwartz Daniel 
Published: February 2023

<p>This paper introduces a concept of {\it possibility} that may be applied to real-world events that are viewed as having {\it prerequisites} that must be satisfied in order for the event to occur and/or {\it constraints} that may impede or prevent the event's occurrence. The core idea is to compute the possibility of the event as a function of the probabilities that the prerequisites are satisfied and the constraints are not, and where this function computes possibility values of logical combinations of prerequisites and constraints according to the principles of fuzzy logic. Thus, this notion of possibility is a hybrid of fuzzy logic and probability theory. It has the advantage that it provides an objective procedure for determining the possibility of an event insofar as the probabilities of the prerequisites and constraints may be determined by statistical samplings. This version of possibility would appropriately be applied to problems of planning. When there are multiple plans available for achieving a goal, this theory can be used to determine which plan is most possible, i.e., easiest or most feasible to complete. It is speculated that this model of reasoning more correctly captures normal human reasoning about plans. This may be contrasted with the pure use of probability theory, which can be used to determine which plan is most likely to succeed, but is not typically employed by humans in their everyday decision making.</p>
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM
Authors: Dave Rushit , vanamala Mounika 
Published: February 2023

<p>Social media is currently being used by many individuals online as a major source of information. However, not all information shared online is true, even photos and videos can be doctored. Deepfakes have recently risen with the rise of technological advancement and have allowed nefarious online users to replace one’s face with a computer-generated face of anyone they would like, including important political and cultural figures. Deepfakes are now a tool to be able to spread mass misinformation. There is now an immense need to create models that are able to detect deepfakes and keep them from being spread as seemingly real images or videos. In this paper, we propose a new deepfake detection schema using two popular machine learning algorithms; support vector machine and convolutional neural network, along with a publicly available dataset named the 140k Real and Fake Faces to accurately detect deepfakes in images with accuracy rates reaching as high as 88.33%. </p>
High Performance Wearable Ultrasound as a Human Machine Interface for wrist and hand kinematic tracking
Authors: Grandi Sgambato Bruno , Hasbani Milia , Barsakcioglu Deren Y , Ibáñez Jaime , Jakob Anette , Fournelle Marc , Tang Meng-Xing , Farina Dario 
Published: February 2023

<p><em>Objective:</em> Non-invasive human machine interfaces (HMIs) have high potential in medical, entertainment, and industrial applications. Traditionally, surface electromyography (sEMG) has been used to track muscular activity and infer motor intention. As an alternative HMI approach, ultrasound (US) has been receiving increasing attention as an alternative to EMG. Here, we developed a novel portable US armband system with 24 channels and a multiple receiver approach and compared it with existing sEMG- and US-based HMIs on movement intention decoding. </p>
<p><em>Methods:</em> US and motion capture data was recorded while participants performed wrist and hand movements in up to four degrees of freedom (DoFs). A linear regression model was then used to predict the hand kinematics from the US (or sEMG, for comparison) features. The model was also implemented in real-time for a 3-DoF pointer control with minimal training data. </p>
<p><em>Results:</em> In offline analysis, the wearable US system achieved an average of 0.94 in the prediction of four DoFs of the wrist and hand. sEMG reached a performance of = 0.60. </p>
<p><em>Conclusion:</em> The newly proposed A-mode US bracelet setup and processing pipeline can regress hand kinematics for up to four DoFs with higher accuracies than other previously published interfaces based on sEMG or US data. The system allowed real-time control with minimal training data </p>
<p><em>Significance:</em> Wearable US technology may provide a new generation of HMIs that use muscular deformation to estimate limb movements. The proposed US system here provided robust proportional and simultaneous control over multiple DoFs. </p>
Machine Learning at the Grid Edge: Data-Driven Impedance Models for Model-Free Inverters
Authors: Li Yufei , Liao Yicheng , Chen Minjie , Wang Xiongfei , Nordström Lars , Mittal Prateek , Poor H. Vincent , Zhao Liang 
Published: February 2023

<p>The future electric grid is supported by a vast number of smart inverters interfacing with distributed energy resources at the edge. These inverters’ dynamics are typically characterized as impedances, which are crucial for ensuring grid stability and resiliency. However, the physical implementation of these inverters may change significantly from inverters to inverters and may be kept confidential. Existing analytical impedance models require a complete and precise understanding of system parameters. They can hardly capture the complete electrical behaviors when the inverters are performing complex functions. Online impedance measurements for many inverters across multiple operating points are not scalable. To address these issues, we present InvNet, a machine learning framework to systematically evaluate the effectiveness of data-driven methods for modeling inverter impedance patterns across a wide operation range, even with limited impedance data. Leveraging transfer learning, the InvNet can extrapolate from physics-based models to real-world ones and from one inverter to another with very limited data. This framework demonstrates machine learning as a powerful tool for modeling and analyzing black-box characteristics of grid-tied inverter systems that cannot be accurately described by traditional analytical methods, such as inverters under model predictive control. Comprehensive evaluations were conducted to verify the effectiveness of the InvNet in various scenarios. All data and models were open-sourced.</p>
Wideband parameter estimation of three-phase untransposed frequency-dependent transmission lines from terminal measurements
Authors: Alqahtani Fahad , Gomez Pablo 
Published: February 2023

<p>This paper introduces a wideband parameter estimation approach for untransposed three-phase overhead transmission lines. The proposed method involves an accurate reconstruction of the 2-port nodal model of the line over a wide frequency band from terminal measurements obtained for a set of tests. The minimum norm least-squares method is applied for the solution of the overdetermined mathematical system resulting from these tests. The reconstructed model is further solved for the series impedance and shunt admittance matrices without the need for modal decupling techniques. Terminal voltage and current measurements used as inputs are simulated using software ATP for several tests that consider different tower configurations. The estimated parameters are compared with those computed analytically, with very close results when compared with analytical parameter calculation considering full frequency dependence. </p>
Penggunaan Media Prezi untuk Meningkatkan Hasil Belajar Matematika Materi Pecahan
Authors: Huda Cahya Nurul , Maftuhah Yulia , Syamsiah Siti 
Published: February 2023

Penelitian ini dilatar belakangi oleh rendahnya keaktifan dan hasil belajar matematika siswa kelas II SD Muhammadiyah 4 Kandangsapi. Penelitian ini bertujuan untuk mendeskripsikan peningkatkan keaktifan siswa pada mata pelajaran matematika materi pecahan sederhana siswa kelas II SD Muhammadiyah 4 Kandangsapi melalui media Prezi. Desain penelitian ini adalah penelitian tindakan kelas yang dilaksanakan dalam dua siklus. Subyek dalam pennelitian ini adalah siswa kelas II SD Muhammadiyah 4 Kandangsapi. Data penelitian tentang keaktifan belajar dikumpulkan melalui observasi dan angket. Hasil penelitian dapat disimpulkan sebagai berikut ini media prezi dapat meningkatkan keaktifan siswa kelas II SD Muhammadiyah 4 kandangsapi Tahun ajaran 2020/2021. dibuktikan dengan adanya peningkatan rata-rata presentase indicator keaktifan siswa pada setiap siklusnya. Hasil diperoleh skor rata-rata pengamatan bahwa keaktifan belajar mengalami peningkatan disetiap pertemuan baik dalam pra skilus, siklus I dan siklus II disetiap indikator sebagai berikut : 1) Interaksi dengan siswa dan guru dari 43,9% meningkat ke siklus I 57,2% meningkat ke siklus II 70,6%, 2) Kerjasama dengan teman sekelompok prasiklus 42,8% meningkat ke siklus I 56,7% meningkat ke siklus II 71,7%, 3) Mengerjakan soal dan tugas prasiklus 44,4% meningkat ke siklus I 59,4% meningkat ke siklus II 76,1%, 4) Motivasi dalam mengikuti pelajaran pra siklus 41,7% meningkat ke siklus I 57,8% meningkat ke siklus II 80,6%.
Changamoto Zinazowakabili Wanafunzi Wakimbizi wa Sudan Kusini katika Ushairi wa Kiswahili
Authors: Lokidor Edward Ekadeli 
Published: February 2023

Utafiti huu unaeleza changamoto zinazowakumba wanafunzi wakimbizi kutoka Sudan Kusini katika ushairi wa Kiswahili. Utafiti huu ulilenga kuchunguza changamoto zinazokumba wanafunzi wakimbizi kutoka Sudan Kusini katika ushairi wa Kiswahili katika shule ya upili. Nadharia ya Uchanganuzi Makosa ilielekeza utafiti huu. Utafiti huu ulifanywa katika shule ya upili ya Fanaka (jina la msimbo) katika kambi ya wakimbizi ya Kakuma, Kaskazini Magharibi mwa Kenya. Data ilikusanywa kupitia mahojiano, uchunzaji na uchanganuzi wa matini. Matokeo ya utafiti huu yalibaini kuwa wanafunzi wakimbizi kutoka Sudan Kusini wanakabiliwa na changamoto ya ugumu wa kujibu maswali ya ushairi. Changamoto ya ugumu wa ushairi kwa wanafunzi wakimbizi kutoka Sudan Kusini imetokana na mtazamo hasi kuwa ushairi ni mgumu, ukosefu wa miongozo ya ushairi, ukosefu wa vitabu teule vya ushairi, na walimu kutotumia mbinu na nyenzo mwafaka za kufundisha ushairi. Utafiti umetoa mapendekezo ya jinsi ya kuboresha ufundishaji wa ushairi katika shule za upili nchini Kenya. Aidha, utafiti huu unatoa mchango kwa ufundishaji na ujifunzaji wa ushairi wa Kiswahili kwa wanafunzi wa kigeni wanaojifunza Kiswahili
How uncertain are you? Disentangling expected and unexpected uncertainty in pupil-linked brain arousal during reversal learning
Authors: Pajkossy P. , Gesztesi G. , Racsmány M. 
Published: February 2023

AbstractDuring decision making, we are continuously faced with two sources of uncertainty regarding the links between stimuli, our actions, and outcomes. On the one hand, our expectations are often probabilistic, that is, stimuli or actions yield the expected outcome only with a certain probability (expected uncertainty). On the other hand, expectations might become invalid due to sudden, unexpected changes in the environment (unexpected uncertainty). Several lines of research show that pupil-linked brain arousal is a sensitive indirect measure of brain mechanisms underlying uncertainty computations. Thus, we investigated whether it is involved in disentangling these two forms of uncertainty. To this aim, we measured pupil size during a probabilistic reversal learning task. In this task, participants had to figure out which of two response options led to reward with higher probability, whereby sometimes the identity of the more advantageous response option was switched. Expected uncertainty was manipulated by varying the reward probability of the advantageous choice option, whereas the level of unexpected uncertainty was assessed by using a Bayesian computational model estimating change probability and resulting uncertainty. We found that both aspects of unexpected uncertainty influenced pupil responses, confirming that pupil-linked brain arousal is involved in model updating after unexpected changes in the environment. Furthermore, high level of expected uncertainty impeded the detection of sudden changes in the environment, both on physiological and behavioral level. These results emphasize the role of pupil-linked brain arousal and underlying neural structures in handling situations in which the previously established contingencies are no longer valid.
Comparison of Harmonic scalpel and conventional homeostasis in understanding complications followed by total thyroidectomy
Authors: Munawer Latif Memon  , Ijaz Ali  , Brig Muhammad Ali  , Sarwat Saeed  
Published: February 2023

BACKGROUND & OBJECTIVE: Thyroidectomy is a classic surgical procedure used worldwide for thyroid gland excision. A study was conducted to compare the outcomes (mean operative time, drainage volume, postoperative pain and hospital stay) and postoperative complications of Harmonic scalpel and conventional homeostasis in patients who underwent total thyroidectomy
METHODOLOGY: A prospective observational study was conducted at the department of general surgery, POF hospital Wah Cantt. The study duration was six months (June 2020-Novemebr 2020). A sample size of 70 patients was calculated using the WHO calculator. Patients for total thyroidectomy were selected through a non-probability consecutive sampling. Patients whose total thyroidectomy was planned were divided into two groups using a random number table. In Group A, we used a harmonic scalpel, while in Group B, we used the conventional homeostasis method to secure homeostasis operatively. Patients were followed after 4 weeks for complications. Chi-Square test and t-test was applied.
RESULTS: A total of 70 patients were included in the study. The mean operative time was 44.5 min±1.4 in the HS group and 66.0 min±2.0 in the conventional homeostasis group (p≤0.001). Hospital stay was significantly less in the HS group as compared to the conventional homeostasis group (2.3 days ±0.4 vs 3.3 days ±0.4, p≤0.001). Postoperative drainage was significantly high in conventional homeostasis group as compared to HS group (56.4±1.5 mL vs 36.5±1.5 mL, p≤0.001).
CONCLUSION: Harmonic scalpel is an effective, reliable and safe tool for better outcomes in terms of less operative time, lower drainage volume and short duration of hospital stay as compared to conventional methods.
Twitter as Potential Medium for Organization: Constructing Green Messages on Twitter
Authors: Wibowo Tangguh Okta , Syafuddin Khairul , Elmada Maria Advenita Gita 
Published: February 2023

This study examines the topic of environmental sustainability, which is currently emphasized by governments and organizations. How do organizations, in particular, utilize the term "green" to designate their products and services? A green label plays a crucial role in establishing a favorable reputation for an organization, allowing it to be identified as a promoter of environmental sustainability. This study explores the utilization of the green concept on Twitter deeper. Utilizing the Netlytic program, tweets containing the terms "green" or "environmental" are submitted to a content analysis. This study shows, using collected data, that Twitter is utilized as a "technology weapon" to promote the organization's image. By accommodating digital traces by users on Twitter, researchers see a "digital space" formed to be utilized as a space for organizations to produce content based on environmental communication. This information has consequences for the green labeling of an organization and enables the enhancement of a good image that adds value to the organization's reputation to establish itself as a pro-environmental organization. Important findings from this study suggest that Twitter could be utilized by organizations to improve their status on the map as a green organization.
Bits Missing: Finding Exotic Pulsars Using bfloat16 on NVIDIA GPUs
Authors: White Jack , Adámek Karel , Roy Jayanta , Dimoudi Sofia , Ransom Scott M. , Armour Wesley 
Published: February 2023

Abstract
The Fourier domain acceleration search (FDAS) is an effective technique for detecting faint binary pulsars in large radio astronomy data sets. This paper quantifies the sensitivity impact of reducing numerical precision in the graphics processing unit (GPU)-accelerated FDAS pipeline of the AstroAccelerate (AA) software package. The prior implementation used IEEE-754 single-precision in the entire binary pulsar detection pipeline, spending a large fraction of the runtime computing GPU-accelerated fast Fourier transforms. AA has been modified to use bfloat16 (and IEEE-754 double-precision to provide a “gold standard” comparison) within the Fourier domain convolution section of the FDAS routine. Approximately 20,000 synthetic pulsar filterbank files representing binary pulsars were generated using SIGPROC with a range of physical parameters. They have been processed using bfloat16, single-precision, and double-precision convolutions. All bfloat16 peaks are within 3% of the predicted signal-to-noise ratio of their corresponding single-precision peaks. Of 14,971 “bright” single-precision fundamental peaks above a power of 44.982 (our experimentally measured highest noise value), 14,602 (97.53%) have a peak in the same acceleration and frequency bin in the bfloat16 output plane, while in the remaining 369 the nearest peak is located in the adjacent acceleration bin. There is no bin drift measured between the single- and double-precision results. The bfloat16 version of FDAS achieves a speedup of approximately 1.6× compared to single-precision. A comparison between AA and the PRESTO software package is presented using observations collected with the GMRT of PSR J1544+4937, a 2.16 ms black widow pulsar in a 2.8 hr compact orbit.
The mutual corruption of volition and nature? A closer reading of Ad Thalassium 42
Authors: Moldovan Sebastian 
Published: February 2023

This article closely examines the content of an important passage in Maximos the Confessor’s Ad Thalassium 42, in which we can identify a ternary soteriological structure (Adam-Christ-us) recurring in the work of the Byzantine theologian. The main focus of the article is to highlight and analyse the relationship that he evokes, but does not detail, between human nature and the exercise of will – in the case of Adam, as the protological and lapsarian exemplar of humanity; in the case of Christ, as its teleological and soteriological exemplar; and in the case of us, as natural descendants of the former and possible spiritual followers of the latter.Contribution: This article highlights a general soteriological structure and the circular dynamics between nature and will as the central anthropological mechanism of this structure, both of which are relevant to Maximos the Confessor’s entire work in general and to his moral psychology, including his concept of the passions, in particular.