bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diseases of the Nervous System as a Cause of Disability
Authors: Skorupa Aleksandra , Pawłowska Paulina , Nowińska Aleksandra , Nieradko-Iwanicka Barbara 
Published: February 2025

Abstract
Disability, in most cases, is caused by the devastation of the body by a chronic disease or cancer. Therefore, the aspect of prevention is extremely important, which we can only apply with knowledge of the most common diseases leading to disability. It is clear that the number of patients suffering from diseases of the nervous systems is increasing with age. Specifically, we can highlight severe strokes with evident neurological deficits, tumors of the central nervous system, encephalopathies, peripheral nerve damage, neurologic inflammatory diseases, epilepsy, back pain as the most common diseases in the nervous system. Patients affected by these conditions have various levels of disability, which also largely depends on the severity of the diseases at the time of diagnosis.
The main objective of the study was to find what is the incidence of disability certificate issuing due to neurological diseases in Lublin.
Material and methods Data was obtained through query to the Municipal Disability Assessment Centre in Lublin for the period 2006-2021.
Results The highest number of disability certificates due to neurological diseases, as many as 966, was issued in Lublin in 2015. Disability certificates of a moderate degree prevailed. The most numerous group of beneficiaries were people aged 41-60. In the period under study, such a certificate was received mostly by women. Persons with secondary education predominated. The overwhelming majority of these persons were not professionally employed. Analyzing the reasons for issuing disability certificates, the most frequent were diseases of the locomotor system, second were circulatory and respiratory system diseases and third were neurological diseases.
Conclusions Diseases of the nervous system are the 3rd most common cause of issuing disability certificates in Lublin from 2006-2021. The recipients were mainly middle-aged women with a secondary education. The problem is getting more and more common, therefore the prevention is crucial to decrease the number of patients with disability due to the diseases of the nervous system.
Possible Immunomodulating Effect Ketoprofen and Ketoprofen Lysine Salt on the Brain
Authors: Nieradko-Iwanicka Barbara , Ruszel Kinga , Herbet Mariola , Pawłowski Kamil 
Published: February 2025

Abstract
Ketoprofen lysine salt (KL) is a new non steroidal antiinflammatory drug (NSAID) competing with ketoprofen (K) on the market. The former is believed to have gastroprotective properies, the latter to kill acute pain. Many people drink ethanol and use NSAIDs on the days after.The aim of the study was to find out if K and KL have any immunomodulating effect on the brain after ethyl alcohol intoxication in a rat model.
The experiment was carried out on 36 female Wistar rats. Animals were bred at the Experimental Medicine Centre at the Medical University of Lublin. The ethanol, NaCl, K and KL were administered by gavage. The animals were randomly divided into groups of 6.On day 7 all animals were sacrificed. Their brains and blood were collected for laboratory tests.
There were no statistically significant differences in the concentration of IL-10 in the central nervous system between the study groups. We observed a positive correlation between brain IL-10 levels and body weight, also a correlation between brain IL-6 and brain weight. The level of IL-10 in the brain correlated with the concentration of IL-6 of all animals.
Conclusions KL and K have some immunomodulating effect on the brain. There is a positive correlation between the level of IL-6 and IL-10 in rat brains.
Geoinformation modelling of the watershed area of small and medium-sized rivers for environmental audit
Authors: Iryna Omelych , Natalia Neposhyvailenko , Krzysztof Bakuła , Stephen Mykhalevych 
Published: February 2025

Abstract
Developing and improving environmental audit methodologies is integral to natural resource management. This paper presents an innovative approach to studying and analysing anthropogenic impacts on the territories whose boundaries are limited by the watershed area of a small or medium-sized river. Using geoinformation technologies and high-resolution digital elevation models allowed us to create an accurate geospatial model of anthropogenic transformations of the Oril River watershed area within the Dnipropetrovsk region (Ukraine). The proposed approach to identifying potentially hazardous objects is based on surface slopes and their distance from the riverbed within the watershed area. Based on the modelling results, a refined watershed area of the Oril River with a total area of 11.1 thousand square kilometres was developed. Digitalisation and categorisation of anthropogenically transformed lands allocated for residential development, industrial enterprises, farms, agricultural land, roads, and railwayswithin the Oril River watershed in the Dnipropetrovsk region (3963 km2) were conducted. It was found in the investigation that 79% of the study area comprises anthropogenically transformed land primarily used for agricultural and industrial activities. The modelling results underscore that agricultural activity serves as the principal source of anthropogenic pressure on the ecosystems of the studied area. The proposed improvements to the environmental audit methodology can be used in developing regulations to limit the negative impact of economic activity on the environment. This will ensure the region’s sustainable development and fulfil Ukraine’s obligations to preserve natural resources including international standards. The conclusions of the article point to the need to further improve the tools for assessing anthropogenic impact and planning environmental protection measures.
Socio-Environmental Analysis in the Nigua Basin: Foundations For the Integrated Management of Its Natural Resourcesenglish Title
Authors: Maldonado-Santana Casimiro , Duval Juan Luis Ramírez , Billini Carol Franco , Jauregui-Haza Ulises Javier 
Published: February 2025

Objective: This work analyzes the Nigua River basin, located in the province of San Cristóbal, Dominican Republic, highlighting its socio-environmental and historical relevance.

Theoretical Framework: The research analyzes key studies from the last decade on the Nigua basin, focusing on land use, ecosystem services, climate change and governance. It proposes a comprehensive approach that includes the restoration of degraded areas, sustainable agriculture, mining regulation and strengthening governance. It also highlights the importance of involving local communities, promoting environmental education and environmental education.

Method: The evaluation of the surface environment of the basin was carried out qualitatively through field work, satellite images and processing tools. Base cartography from the Ministry of the Environment and the National Institute of Hydraulic Resources was used. To evaluate the environmental condition of the Nigua River basin, the DPSIR (Drivers, Pressures, States, Impacts, Responses) model was applied, analyzing environmental problems from five aspects: driving force, pressure, state, impact and response.

Results and Discussion: The basin, known for its biodiversity and cultural wealth, faces significant environmental challenges such as deforestation, water pollution, soil erosion and indiscriminate extraction of construction materials. Through a comprehensive diagnosis, problems were identified in the management of its natural resources and the lack of a sustainable comprehensive management model.

Research Implications: It is emphasized that the comprehensive management of the Nigua basin is essential to preserve its ecological integrity, ensure equitable access to water and guarantee the well-being of dependent communities.

Originality/Value: This research analyzed the natural resources of the Nigua basin, seeking to promote social well-being and support sustainable economic development.
Pengaruh Pengetahuan Perpajakan, Sanksi Perpajakan, dan Perkembangan Teknologi Perpajakan terhadap kepatuhan Wajib pajak Orang Pribadi UMKM di Kota Semarang
Authors: Sudiarto Michele , Santoso Eko Budi 
Published: February 2025

Perkembangan UMKM di Indonesia sangat penting untuk pertumbuhan ekonomi negara. Pengusaha UMKM yaitu tercatat mencapai 65 juta dan akan terus bertambah setiap tahunnya, hal ini merupakan hal yang baik bagi perekonomian negara dan pemerintah ikut mendukung pertumbuhan UMKM. Pajak yang dikenakan kepada UMKM yaitu salah satunya pajak penghasilan (PPh). Salah satu wilayah pajak adalah Jawa Tengah dimana pada tahun 2021, kepatuhannya mencapai 72% tetapiÂ kontribusi kepatuhan bagi non karyawan hanya 9%. Pada tahun 2021, jumlah pertumbuhan UMKM terbesar di Jawa Tengah adalahÂ di Kota SemarangÂ sebesar 91.000 UMKM yang telah memiliki ijin dan terdapat sekitar 29.000 UMKM yang telah difasilitasi Pemkot Semarang. Pengumpulan data dilakukan dengan membagikan kuesioner secara daring kepada pemilik UMKM di Kota Semarang dan sampel yang didapatkan adalah 175 responden. Pengambilan sampel yaitu dengan metode purposive sampling. Analisis data dilakukan dengan regresi linear berganda dimana hasilnya, pengetahuan perpajakan berpengaruh positif terhadap kepatuhan wajib pajak orang pribadi UMKM di Kota Semarang. Lalu sanksi perpajakan juga berpengaruh positif terhadap kepatuhan wajib pajak orang pribadi UMKM di Kota Semarang. Sedangkan perkembangan teknologi tidak berpengaruh terhadap kepatuhan wajib pajak orang pribadi UMKM di Kota Semarang.
Pengaruh Pemahaman Perpajakan, Sanksi Pajak, Machiavellian, dan Love of Money Terhadap Persepsi Etika Penggelapan Pajak Dengan Religiusitas Sebagai Variabel Moderasi (Studi Kasus Pada Mahasiswa Akuntansi Universitas Islam Syekh-Yusuf Tangerang)
Authors: Kristanti Kristanti , Phany Saniyyah Azhar  
Published: February 2025

Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh pemahaman perpajakan, sanksi pajak, Machiavellian, dan love of money terhadap persepsi etika penggelapan pajak dengan religiusitas sebagai variabel moderasi. Penelitian ini menggunakan pendekatan kuantitatif dengan menggunakan data primer yang diperoleh melalui penyebaran kuesioner pada responden. Responden pada penelitian ini yaitu mahasiswa akuntansi Universitas Islam Syekh-Yusuf. Adapun teknik pengambilan sampel yang digunakan yaitu non-probability sampling dengan jumlah responden sebanyak 95 responden dan menggunakan software Smart PLS 3 untuk mengolah data. Hasil penelitian ini menunjukkan bahwa pemahaman perpajakan dan love of money secara parsial berpengaruh terhadap persepsi etika penggelapan pajak, sedangkan sanksi pajak dan Machiavellian secara parsial tidak berpengaruh terhadap persepsi etika penggelapan pajak. Religiusitas sebagai variabel moderasi secara parsial tidak dapat memoderasi pemahaman perpajakan, sanksi pajak, Machiavellian, dan love of money terhadap persepsi etika penggelapan pajak.
<sup>13</sup>C-Resonanz von Disacchariden mit Galactoserest
Authors: Breitmaier Eberhard , Jung Günther , Voelter Wolfgang 
Published: February 2025

The 13C spectra of disaccharides with galactose residues are discussed. The assignments of the signals were achieved by comparison of the disaccharide spectra with those of the monomeric units and glycosides. The pulse Fourier transform 13C NMR spectroscopy allows the recording of the spectra of the sugar before mutarotation thus permitting unequivocal assignements of the signals due to the α and β anomer.
ОБ ИНТЕРПРЕТАЦИОННЫХ ПАРАМЕТРАХ ГЕОЭЛЕКТРИЧЕСКОГО КАРТИРОВАНИЯ БЛУЖДАЮЩИМИ ТОКАМИ ЭЛЕКТРИЧЕСКОЙ ЖЕЛЕЗНОЙ ДОРОГИ
Authors: Вишнев В.С. 
Published: February 2025

В статье представлены методические приемы, позволяющие извлекать полезные для электроразведки сигналы из набора измерений техногенных импульсных помех от электрической железной дороги. Приведены обоснования математических выражений, пригодных для расчета гео- электрических параметров, которые могут быть с успехом применены при разграничении массивов горных пород, различающихся по электропроводности. На практическом примере проиллюстрирована эффективность использования обсуждаемых параметров в электроразведке. Отмечено, что некоторые из них вполне пригодны для выполнения геоэлектрического картирования на территориях, прилегающих к электрической железной дороге, с плохими условиями для измерения электрических составляющих электромагнитного поля.
The article presents methodological techniques that allow extracting signals useful for electrical exploration from a set of measurements of man-made impulse interference from an electric railway. The substantiations of mathematical expressions suitable for calculating geoelectric parameters that can be used to differentiate rock massifs that differ in electrical conductivity are given. A practical example illustrates the effi ciency of using the discussed parameters in electrical exploration. It is noted that some of them are quite suitable for performing geoelectric mapping in areas adjacent to an electric railway with poor conditions for measuring the electrical components of the electromagnetic fi eld.
ОБ ИНТЕРПРЕТАЦИОННЫХ ПАРАМЕТРАХ ЭЛЕКТРИЧЕСКОЙ РАЗВЕДКИ НЕДР МЕТОДАМИ СОПРОТИВЛЕНИЯ С ИЗМЕРЕНИЕМ МАГНИТНОГО ПОЛЯ
Authors: Вишнев В.С. , Горшков В.Ю. 
Published: February 2025

Обращается внимание на возможность и перспективы использования внедряемой в последние десятилетия в практику полевых геофизических работ многоканальной электроразведочной аппаратуры. Приводятся математические выражения, пригодные для расчёта «кажущегося» удельного электрического сопротивления геологической среды по измерениям электрических и магнитных составляющих поля тока питающей установки методов сопротивления. Даётся их логическое обоснование. Отмечается, основываясь на простейшем теоретическом примере, повышение точности построения кривых ρк при совместном использовании электрических и магнитных составляющих поля питающей установки AB.
Attention is drawn to the possibility and prospects of using multi-channel electrical exploration equipment introduced into the practice of fi eld geophysical work in recent decades. Mathematical expressions which are suitable for calculating the “apparent” electrical resistivity of a geological medium based on measurements of the electric and magnetic components of the current fi eld of the supply installation of resistivity methods are given. Their logical justifi cation is given. It is noted, based on the simplest theoretical example, an increase in the accuracy of constructing ρa curves with the combined use of electric and magnetic components of the fi eld of the AB supply array.
ИЗУЧЕНИЕ ЗАВИСИМОСТЕЙ КОМПОНЕНТ ПОЛЯ ВЕРТИКАЛЬНОГО МАГНИТНОГО ДИПОЛЯ ОТ ПАРАМЕТРОВ СРЕДЫ И УСТАНОВКИ
Authors: Горшков В.Ю. 
Published: February 2025

Изучается поле вертикального магнитного диполя, приподнятого над однородным по- лупространством. Выведены формулы для расчётов компонент электромагнитного поля, рассмотре- но влияние подъёма аппаратуры на измеряемые величины, приведены графики значений различных составляющих для частот, используемых в применяемой на практике полевой аппаратуре. Приведён пример использования полученных значений.
The fi eld of a vertical magnetic dipole elevated above a homogeneous half-space is studied. Formulas for calculating the components of the electromagnetic fi eld are derived, the effect of lifting the equipment on the measured values is considered, graphs of the values of various components for frequencies used in applied in practice fi eld equipment are given. An example of using the obtained values is given.
ИЗУЧЕНИЕ СТРУКТУРЫ ГЕОДИНАМО РЕШЕНИЕМ ОБРАТНЫХ ЗАДАЧ МАГНИТОМЕТРИИ
Authors: Овчаренко А.В. 
Published: February 2025

Даётся теория и методика построения эквивалентного двойного слоя, описывающего главное геомагнитное поле Земли. Эквивалентный двойной слой строится на некоторой поверхности внешнего жидкого ядра Земли или внутри его. Исходными данными выступает модель WMM-2020 на 2025 год и модели IGRF 1900-2000. Для устойчивого построения двойного слоя или слоя магнитных диполей применяется метод регуляризации А.Н. Тихонова и масштабирование модели для снижения потери точности при вычислениях. Изучается структура отдельных компонент найденного эквивалент- ного слоя магнитных диполей и соответствующей им структуры электрических токов. Для этого стро- ятся динамические модели структуры слоя или компьютерные фильмы. Полученные данные могут быть использованы для совершенствования традиционных моделей геомагнитного динамо Земли и расчетов магнитного поля всюду вне слоя.
The theory and method of constructing an equivalent double layer describing the main geomagnetic fi eld of the Earth are given. An equivalent double layer is built on or within some surface of Earth’s outer liquid core. The initial data is the WMM-2020 model for 2025 and the IGRF 1900-2000 model. For stable construction of a double layer or a layer of magnetic dipoles, A.N. Tikhonov’s regularization method and model scaling are used to reduce the loss of accuracy in calculations. The structure of individual components of the found equivalent layer of magnetic dipoles and the corresponding structure of electric currents is studied. For this, dynamic models of the layer structure or computer fi lms are built. The data obtained can be used to improve traditional models of the Earth’s geomagnetic dynamo and calculate the magnetic fi eld everywhere outside the layer.
Geodynamo, double layer, inverse incorrect task, regularization, magnetic dipole, computer movies, IGRF, WMM-2020
A differential effect of energy instability on share price and income statement
Authors: Ngwakwe C.C. 
Published: February 2025

This paper evaluated the differential effect of energy instability on the share price and income statement performance of companies in South Africa during the energy supply instability (loading shedding period) and during the energy supply stability period. Data was collected from the Fusion Media investment archives (for JSE share price of companies), and from STATS SA (for aggregate income statement of all South African industries). The data was analysed by applying the paired sample T-test for mean difference. At an alpha value of 0.05, the results indicate that share price of companies in the JSE during the period of energy stability significantly exceeds the share prices during periods of energy instability at a p-value of 0.0001, far below the alpha level. In addition, the results on the income statement differential analysis show that income statement (turnover and income) during the period of energy stability significantly exceeds the turnover and income during periods of energy instability at a p-value of 0.0001, which is below the alpha level of 0.05. The practical implication thus signifies the importance of energy stability in bolstering the market value, the turnover and income of industries in South Africa. This also shows that energy instability might be a problem for accounting valuation analysis given the income statement variations due to energy instability. The paper provides further research agenda to examine this phenomenon in other regions of Africa where industries face severe energy shortage and to examine the implication on corporate accounting valuation.
ESTRUCTURACIÓN DEL ORDEN SOCIAL EN MÉXICO
Authors: Zamorano Farías Raúl 
Published: February 2025

En las sociedades orientadas por un orden social premoderno, los diferentes sistemas interpersonales de acción están caracterizados por la indiferenciación, por lo tanto, lo que prima es el estrato de pertenencia. De forma que el contenido del derecho, de la política, de la moral, en tanto un orden necesario, está determinado de manera heterónoma y a priori (Dios, naturaleza, posición). La diferenciación por funciones, característica preeminente del orden social moderno, se realiza cuando los sistemas diferenciados asumen la forma de un programa condicional y, por lo tanto, presuponen un efectivo nivel de despersonalización e indiferencia en relación con su entorno (contingencia).
La observación y análisis de la construcción del orden social y la articulación operativa de expectativas, estructuras, presupuestos y organizaciones en América Latina, en general (1), y en México, en particular (2), evidencia precisamente la forma generalizada de cómo –sobre el presupuesto de la diferenciación funcional, se han construido y se construyen en esta periferia de la sociedad moderna, prácticas y expectativas heterónomas (3) las cuales, no obstante, hacen operativo el orden social, el Estado, la política, el derecho, naturalizando particulares scripts y formas de democracia (4).
Performance Comparison of 1D-CNN and LSTM Deep Learning Models for Time Series-Based Electric Power Prediction
Authors: SUKATMO SUKATMO , NUGROHO HAPSORO AGUNG , RUSANTO BENYAMIN HERYANTO , SOEKIRNO SANTOSO 
Published: February 2025

ABSTRAKPrediksi daya listrik yang akurat sangat penting untuk efisiensi energi, terutama bagi institusi dalam memenuhi kebutuhan energi yang dinamis. Penelitian ini membandingkan kinerja deep learning 1D-CNN dan LSTM untuk memprediksi daya listrik berbasis time series, menggunakan dataset dari Building Automation System (BAS) gedung STMKG. Metrik evaluasi Mean Squared Error (MSE) dan Mean Absolute Error (MAE) digunakan untuk mengukur akurasi. Hasil penelitian menunjukan untuk LSTM nilai MSE rata-rata dari 10 percobaan pada proses pengujian 3,35E-04±0,00013 dan MAE 0,01312±0,0079, sedikit lebih baik dari 1DCNN yang memiliki nilai MSE rata-rata 4,68E-04±0,0003 dan MAE 0,01855±0,00586. Walaupun perbedaannya tidak signifikan, 1D-CNN menawarkan keunggulan dalam efisiensi waktu komputasi 63,08s, 1D-CNN lebih cepat sekitar 84.19%.Kata kunci: prediksi, daya listrik, time series, CNN, LSTM ABSTRACTAccurate electrical power prediction is essential for efficient energy management, especially in institutions with dynamic energy needs. This study compares the performance of 1D-CNN and LSTM for time series based electrical power prediction, using a dataset from the Building Automation System (BAS) of STMKG building. The evaluation metrics Mean Squared Error (MSE) and Mean Absolute Error (MAE) are used to measure accuracy. The results show that the LSTM had an average MSE value of 3.35E-04±0.00013 and an MAE of 0.01312±0.0079 across 10 trials. This is slightly better than the 1D-CNN, which had an average MSE value of 4.68E-04±0.0003 and an MAE of 0.01855±0.00586. Despite the marginal difference, 1D-CNN provides a computational time efficiency advantage of 63.08s, 1D-CNN is about 84.19% faster.Keywords: prediction, electrical power, time series, CNN, LSTM