bluuebunny/crossref_metadata_2025 huggingface dataset:
PLANEJAMENTO E GESTÃO EM EDUCAÇÃO: PONTOS DE VISTA E PRINCÍPIOS
Authors: Reche José Roberto Flores , Mendes Ivanise Nazaré
Published: April 2024

The guarantee of quality education goes without a doubt through a long process that involves the whole school system and the dimensions that go beyond it. In today’s world there are many challenges in the pursuit of excellence in education. Among these challenges, school planning receives special attention. Knowing the principles governing the act of planning and its most remote foundation in society is fundamental to the performance in the school environment in the present time. Schools experience times that require greater autonomy in their daily activities; they also require a leadership that acts in an organized and transparent way so that it is possible to consolidate and achieve learning goals. Planning plays a major role in this process. It is the instrument that mediates between what is idealized and what is concretized in the school environment, thus serving as a foundation for the development of all other pedagogical practices that coexist in the institution
Background Noise Level in Niger Delta University Water Factory
Authors: Ogobiri Godwin E. , Biere P. E , Ubah Precious , Abule Ibuama E.
Published: April 2024

This research work is aims at determining the noise level in the Niger Delta University water factory for both operational and non-operational as shown in the various tables. Figure 1 and figure 2 shows the bar charts of the various noise levels of the water factory when the factory was in operational and non-operational. Figure 3 is a bar chart of the combine operational and non-operational noise levels in the water factory. In figure 1, the noise level is highest at the finished product store-room with a noise level value of 113.7 dB(A) as against 80.5 dB(A) in the bottle water store-room. Figure 2 indicate when the factory was non-operational the highest noise level is found in the payment room with a noise value of 67.4 dB(A) and the lowest noise level in the bottle water packaging room of noise value of 35.4 dB(A) this can be due to human activities that are taking place in the payment room. Figure 3: Shows the shows the bar chart for both operational and non-operational noise levels of the water factory, For the operational the finished product store-room has the highest with 113.7 dB(A) as against the non-operational in the bottle water packaging room which has a lower noise level value of 35.4 dB(A) this is compare to the permissible limit as recommended by WHO of 75dB(A) for eight (8) working hours.
Forecasting Financial Crisis using Topological Data Analysis Approach
Authors: Oseko Naomi Nyaboke , Omondi Achuo Gilead , Onyango Hassan Dogo , Olwa Desma Awuor , Maina Gabriel , Morara Moses Oruru , Thiong’o Kelvin Mwangi
Published: April 2024

Traditional financial forecasting methods often struggle to capture the complex interactions and emerging patterns that precede financial crises. By leveraging on TDA, this research aims to uncover potential topological features that might serve as early warning signals for impending financial crises. The study adopts the utilization of Topological Data Analysis, an initiative mathematical framework to explore and analyze the inherent topological structures within financial data set, using secondary data from ”Yahoo Finance API”. The results of the analysis conducted using Python indicate that persistence homology in TDA successfully identifies key topology features associated with financial crises, implying its potential for developing early warning systems in the financial sector. The insights gained from this analysis could significantly enhance the early detection and proactive management of system risks in financial market, thereby contributing to more robust risk assessment and policy formulation strategies.
FEBRE REUMÁTICA: UMA REVISÃO DA LITERATURA
Authors: Rayol Andyhara Horácio , Pereira Letícia Stella Oliveira , Paula Luciene Morais de , Dias Maria Eduarda Gomes , Neves Marianne Oliveira
Published: April 2024

O objetivo desse artigo é demonstrar como a febre reumática se mostra como uma doença de grande relevância na sociedade, devido aos impactos que gera, ao seu difícil diagnóstico e à importância da sua identificação precoce para uma atuação preventiva eficaz. A literatura demonstra a influência dos determinantes sociais em relação à desnutrição, moradia em aglomerados, baixas condições sanitárias e carência de atendimento médico. Ademais, verificou-se que não há um teste diagnóstico específico, sendo a doença diagnosticada usando os critérios de Jones, situação que torna o diagnóstico altamente desafiador. Assim, a partir do conhecimento dos dados apresentados no artigo, observou-se a necessidade da conscientização dos profissionais de saúde sobre os aspectos supracitados, a fim de promover estratégias de saúde que combatam a patologia integralmente.
AS MODALIDADES DE FAMÍLIA REGULADAS PELO DIREITO BRASILEIRO
Authors: Rodrigues Auriceia Carvalho , Furlan Fernando Palma Pimenta
Published: April 2024

A família, em épocas passadas, carregava consigo a definição de que a sua formação era composta de marido, esposa e filhos, isto em um conceito tradicional. Ao longo dos séculos, a mesma sempre foi reconhecida desta forma. Todavia, isso foi passando por muitas transformações, onde tal conceito foi modificado pela própria sociedade e regulamentado pela nova Constituição Federal de 1988, primeira legislação a trazer uma definição mais ampla de família, onde não só era considerado família aquela formada tradicionalmente por pais e filhos, mas também aqueles que possuem laços afetivos. Registrado o marco do direito de família, surgiu a necessidade de tratar mais detalhadamente em relação as famílias, assim, o direito civil ficou como o ramo do direito responsável de trabalhar a resoluções dessa área. No entanto, a análise dos grupos familiares não é uma temática fácil, pois envolve uma série de direitos, inclusive de inclusão social, pois os novos grupos familiares sofrem grande discriminação, entre outros pontos que será tratado no decorrer deste artigo. Por fim, importante trazer as novas modalidades de família presente na sociedade, bem como os desafios enfrentados para garantir o direito a inclusão social.
AS CRIPTOMOEDAS E A REGULAMENTAÇÃO ESTATAL: ENTRE A LIBERDADE ECONÔMICA E A SOBERANIA NACIONAL
Authors: Marques Danilo Soares , Disconzi Verônica Silva do Prado
Published: April 2024

O Brasil, à semelhança de outras nações globais, enfrenta consequências adversas devido à falta de estruturas legais mais abrangentes e consolidadas que orientem o mercado de criptoativos. Esse mercado surgiu com o advento de novas tecnologias e tem a tendência de se integrar cada vez mais às transações rotineiras de todo sistema financeiro. Essa lacuna amplifica e facilita a utilização do mercado de criptoativos para a prática de lavagem de dinheiro. Por outro lado, o Projeto de Lei 4.401/2021, resultado da fusão de vários outros projetos de lei originários das duas casas legislativas da União, visa regulamentar de maneira mais abrangente e específica o tema no Brasil. Ele pode oferecer ferramentas e mecanismos para combater eficazmente o crime de lavagem de dinheiro, bem como outros delitos relacionados à utilização de criptoativos, tornando-se mais efetivo no país. Isso estabelece o caminho inicial para uma legislação mais abrangente, compreendendo a maioria das nuances relacionadas ao tema. Este trabalho oferece um panorama da evolução do mercado de criptoativos no Brasil e no mundo, destacando as tentativas de regulamentação, apresentando uma análise do Projeto de Lei nº 4.401/2021.
The future of Upernavik Isstrøm through ISMIP6 framework: Sensitivity analysis and Bayesian calibration of ensemble prediction
Authors: Jager Eliot , Gillet-Chaulet Fabien , Champollion Nicolas , Millan Romain , Goelzer Heiko , Mouginot Jérémie
Published: April 2024

Abstract. This study investigates the uncertain future contributions to sea-level rise in response to global warming of Upernavik Isstrøm, a tidewater glacier in Greenland. We analyze multiple sources of uncertainty, including shared socio-economic pathways (SSPs), climate models (global and regional), ice-ocean interactions, and ice sheet model parameters (ISM). We use weighting methods based on spatio-temporal velocity and elevation data to reduce ice flow model uncertainty, and evaluate their ability to prevent overconfidence. Our developed initialization method demonstrates the capability of Elmer/Ice to accurately replicate the historical mass loss of Upernavik Isstrøm. This provides confidence in the model's ability to project the future evolution of this region. Future mass loss predictions range from a contribution to sea level rise from 1.5 to 7.2 mm, with an already committed sea-level contribution projection from 0.6 to 1.3 mm. While all sources of uncertainty contribute at least 15 % to uncertainty until the end of the century, SSP-related uncertainty dominates at 40 %. We find that calibration does not reduce uncertainty of the future mass loss between today and 2100 of Upernavik Isstrøm (+2 %) but significantly reduces uncertainty in the historical mass loss of Upernavik Isstrøm between 1985 and 2015 (-32 to -61 % depending on the weighting method). Combining calibration of the ice sheet model with SSP weighting yields uncertainty reductions of future mass loss in 2050 (-1.5 %) and in 2100 (-32 %).
Estimating global precipitation fields from rain gauge observations using local ensemble data assimilation
Authors: Muto Yuka , Kotsuki Shunji
Published: April 2024

Abstract. It is crucial to improve global precipitation estimates for a better understanding on water-related disasters and water resources. This study proposes a new methodology to interpolate global precipitation fields from ground rain gauge observations using the algorithm of the local ensemble transform Kalman filter (LETKF) in which the first guess and its error covariance are developed based on the reanalysis data of precipitation from the European Center for Medium-Range Forecasts (ERA5). For the estimation of each date, the climatological ensembles are constructed using the ERA5 data 10 years before and after that date, and thereafter are utilized to obtain the first guess and its error covariance. Additionally, the global rain gauge observations provided by the National Oceanic and Atmospheric Administration Climate Prediction Center (NOAA CPC) are used for observation inputs in the LETKF algorithm. Our estimates have better agreements against independent rain gauge observations compared to the existing precipitation estimates of the NOAA CPC in general. Because we utilized the same rain gauge observations for the inputs of our estimation as those used in the NOAA CPC product, it is indicated that the proposed estimation method is superior to that of the NOAA CPC (i.e., the Optimal Interpolation). Our proposed method took the advantage of constructing a physically guaranteed first guess and its error variance using reanalysis data for interpolating precipitation fields. Furthermore, the method of this study is shown to be particularly beneficial for mountainous or rain-gauge-sparse regions.
Hygroscopic Growth and Activation Changed Submicron Aerosol Composition and Properties in North China Plain
Authors: Xu Weiqi , Kuang Ye , Xu Wanyun , Zhang Zhiqiang , Luo Biao , Zhang Xiaoyi , Tao Jiangchuang , Qiao Hongqin , Liu Li , Sun Yele
Published: April 2024

Abstract. Aerosol hygroscopic growth and activation under high relative humidity (RH) conditions significantly influence the physicochemical properties of submicron aerosols (PM1). However, this process remains poorly characterized due to limited measurements. To address this gap, we deployed an advanced aerosol-fog sampling system that automatically switched between PM1, PM2.5, and TSP inlets at a rural site in the North China Plain in cold season. The results revealed that aerosol swelling due to water vapor uptake influenced aerosol sampling under high RH conditions by shifting the cut-off size of impactors. Under subsaturated high RH (> 90 %), over 25 % of aerosol mass with dry diameters below 1 μm resided in supermicron ranges, while in supersaturated foggy conditions, more than 70 % submicron aerosol migrated to supermicron ranges. Hygroscopic growth and activation particularly affected highly hydrophilic inorganic salts shifting a significant mass submicron sulfate and nitrate particles to supermicron ranges, with 27 – 33 % under 95 % ≤ RH ≤ 99 %, and 65.5 % in supersaturated foggy conditions. Moreover, more than 10 % of submicron biomass burning organic aerosols grew beyond 2.5 μm during fog events, while fossil fuel-related OA (FFOA) remained dominantly in submicron ranges, suggesting inefficient aqueous conversion of FFOA. The two SOA factors (OOA1 and OOA2) behaved differently under supersaturated conditions, with OOA2 exhibiting a higher activated fraction despite a lower oxygen-to-carbon ratio. A substantial increase in organic nitrate and organosulfur mass concentrations in activated droplets during fog events suggested aqueous conversions and formations of brown carbon with potential radiative impacts. Overall, our study highlights remarkably different aqueous processing of primary and secondary PM1 aerosol components under distinct ambient RH conditions.
A Cross-Sectional Study on Quality of Life of Patients with Coronary Artery Disease Attending Out Patient Cardiology Department of a Tertiary Care Hospital, Kolkata
Authors: Maity Satyabrata , Dutta Debashis , Paul Bobby , Bag Noor Islam Bag , Sarkar Chirasree
Published: April 2024

Introduction: Developing countries like India prevalence of coronary artery disease (CAD) is increasing day to day from 1.6 percent to 7.6 percent in rural areas and 1.0 percent to 13.6 percent in urban areas in last few decades and it is going to be a double burden near 2035. Indians are known to have the highest coronary artery disease (CAD) rates.Objective: To find out the socio-demographic characteristics and clinical profile of the patients suffering from coronary artery disease (CAD) attending a tertiary care hospital. This study also assessed the health-related quality of life (HRQOL) of patients.Method: A hospital based cross sectional study was done in Patients more than 18 years of age with coronary artery disease attending Cardiology OPD SSKM Hospital in Kolkata. The study was done from the year August 2020 to September 2022. The study was done on 220 patients by using a structured pretested Mac New HRQOL questionnaire. Results: The median age of coronary artery disease patients was 56 (50-62) years. Around one-third portion (34.1%) of the study participants achieved a primary level of education. The Median (IQR) of per capita income (Rs/month) of the study participants was 2000 (1250-3938). Nearly three fourth (71.4%) participants had various types of co-morbidities. Clinically, 88.2% had normal heart rates, 51.4% had normal blood pressure and 43.6% had low ejection fraction. MacNew HRQOL score among participants were 4.7,4.8,4.4 in social, emotional and physical domain, respectively. Conclusion: Male gender, lower socio-economic conditions, low level of education, inadequate dietary diversity patterns and substance user outnumbered their counterpart. The HRQOL was found satisfactory but lacking in physical domain.
Cartografías de transición: De cuerpos en detención a espacios en movimiento
Authors: Ariza-Parrado Lucas , Gümbel Alexander , Paez María C. , Caicedo-Sánchez Martín A.
Published: April 2024

Del cuerpo propio al espacio relacional, del cuerpo colectivo al espacio potencial, del cuerpo potencial al espacio expandido. A partir de tres colecciones conformadas por obras de arte y performance, este artículo ahonda en la hipótesis de que el espacio se nos devela mediante el cuerpo y su movimiento. En un proceso metodológico entre analizar, cartografiar, coleccionar y conversar sobre dichas colecciones, podemos observar que el espacio no es tan solo una dimensión material, estática y visible que nos contiene y que sucede en el aquí y el ahora, sino que también es producto de cargas, movimientos y extensiones tanto del cuerpo propio como de las relaciones de los cuerpos colectivos. El vaivén entre reflexiones teóricas y el estudio de prácticas espaciales permite identificar y discutir conceptos como la aparición del rastro, entendiendo este como una posibilidad de extender el movimiento de un cuerpo; lo colectivo y lo vulnerable del cuerpo al hacer consciencia sobre sus propios límites en relación con el espacio; así como, el surgimiento de una espacialidad común a través del movimiento de “otros” cuerpos.
Causal Relationship Between Economic Growth and Government Tax Revenue: A Case of Nigeria (1970-2021)
Authors: Enyinnaya Sike E.
Published: April 2024

This paper aims at elucidating the mystery surrounding the belief that, high and vibrant economic activities and economic growth are a prima-facie and a leading indicator for high tax revenue as a source of income for the Federal government in Nigeria. The effects of economic growth on government tax revenue are therefore empirically investigated from 1970-2021. The short-run and long-run relationships between the economic growth in Nigeria and its tax revenue are thus explored in this study. Although, theoretical and empirical reports found that there is a causal relationship between economic growth and tax revenue; this study thus further investigated this relationship by applying Johansen's cointegration test, autoregressive distributed lag (ARDL), and Vector Error Correction Model (VECM) to establish the short and long-run relationships that may exist between economic growth and government tax revenue. However, the findings of this study clearly showed that there is an independent relationship between economic growth and government tax revenue with a 76% speed of adjustment. Thus, there is a unidirectional relationship between economic growth and total government tax revenue with a 74.76% speed of adjustment in the short run to reach an equilibrium level in the long run. This implies that there is fiscal independence between economic growth and tax revenue. The empirical analysis also provides evidence of a long-run equilibrium relationship. Based on the findings that GDP, exchange rate, and production capacity strongly and positively affect the performance of tax revenue in Nigeria. The study recommends among others that appropriate fiscal policies be put in place to moderate the fluctuations in exchange rates of the Naira against other foreign currencies and that the government should support innovative activities by youths through the creation of innovative labs. This would help to create more job opportunities for the youths and also encourage public and private partnerships between the state governments and private investors to improve the economic activities of the country, which will in turn bring about increased tax revenue. Keywords: Economic Growth, Tax Revenue, Tax Policy, GDP,
Pengaplikasian Metode Elemen Hingga Pada Kapal Landing Craft Tank Teluk Katurei Akibat Perubahan Fungsi Tangki
Authors: AGUS PRIHANTO BAMBANG
Published: April 2024

Kapal Landing Craft Tank (LCT) adalah kapal yang digunakan untuk mengangkut kendaran-kendaraan besar seperti heavy cargo, bulldozer, excavator, dumb truck, loader,dan alat berat lainnya yang sangat diperlukan untuk pekerjaan konstruksi dan pertambangan. Untuk wilayah lokasi pengiriman yang diangkut menggunakan kapal Landing Craft – Tank (LCT) adalah lokasi pertambangan atau lokasi proyek yang berada di pulau atau pantai dan jalur sungai yang memang lokasinya sulit untuk dijangkau dengan kapal penangkut biasa. Kapal Landing Craft – Tank (LCT) memiliki bentuk dek yang luas dan rata sehingga dapat mengangkut alat berat dan bahan kontruksi. Kapal LCT Teluk Katurai memiliki ukuran utama Length Over All = 20,50 m, Breadth Deck = 6,00 m, Draught Design = 1,5 m, Dept = 2,50 m. Kapal ini di bangun untuk melayani rute dari Kecamatan Sikakap dan Pagai Selatan di Kepulauan Mentawai Akibat adanya beban tersebut akan mengakibatkan distribusi beban pada kapal LCT. Dengan perubahan fungsi tangki kapal akan terjadi perubahan karakteristik tegangan. Pada setiap perubahan tersebut dilakukan analisa maximum stress dengan bantuan program numerik finite element method (FEM). Analisa yang digunakan adalah analisa beban statis yang berasal dari kendaraan, beban setiap kondisi pembebanan serta beban hidrostatik. Analisa tersebut bertujuan untuk mengetahui karakteristik tegangan dan nilai tegangan terbesar dari konstruksi kapal serta mengetahui letak titik kritis pada kapal, berdasarkan tiga variasi kondisi pembebanan yaitu air tenang, sagging dan hogging. Hasil analisa dan perhitungan yang dilakukan pada kapal LCT model satu dalam kondisi air tenang sebesar 70,5 N/mm2, kondisi sagging sebesar 85,6 N/mm2, dan kondisi hogging sebesar 78,1 N/mm2. Untuk model dua dalam kondisi air tenang sebesar 67,1 N/mm2, kondisi sagging sebesar 77,1 N/mm2, dan kondisi hogging sebesar 72,1 N/mm2.Dari hasil dapat disimpulkan bahwa tegangan yang terjadi pada kapal masih memenuhi safety factor, baik menurut kriteria bahan maupun standar
Perencanaan Filter Untuk Optimalisasi Perawatan Pada Sistem Sea Water Sanitary Di Kapal
Authors: Aris Aris Sugiantoro
Published: April 2024

Sea Water Sanitary sistem adalah suatu sistem yang berfungsi untuk mengalirkan air laut dikapal sebagai pembersihan kotoran toilet. Adapun ide dalam pembuatan judul skripsi berawal dari permulaan kegiatan commissioning atau uji fungsi SW sanitary dgn team surveyor BKI untuk survey / pengecekan dikapal. Maka kami memulai untuk menghidupkan sistem tersebut dengan cara pompa kita start dan sea water box sea chest air laut terhisap dan di alirkan ke ruangan toilet crew / ABK. Pada awalnya sistem berjalan dgn lancar karena diuji diperairan yg bersih air lautnya akan tetapi setelah kapal berlayar di perairan yang keruh dan warnanya kecoklatan dan ini awal mula terjadi permasalahan yang berdampak pada toilet toilet yg ada didalam kapal menjadi kotor karena air yg digunakan keruh mengendap di bow toilet yg menyebabkan kerak dan jika di biarkan beberapa hari akan mengumpal sehingga sulit dibersihkan dan dapat menyumbat saluran pembuangan kotoran tersebut dikapal. Setelah dilakukan analisa ternyata didalam design sistem SW sanitary tidak terdapat filter untuk menyaring dan menjernihkan air laut sehingga toilet jadi cepat bau dan kotor. Maka dibuat sistem filtrasi khususnya untuk kamar mandi yg dipergunakan membuang kotoran itu jadi optimal dalam perawatannya dan umur dari toilet bisa lebih awet.Kata kunci: Sistem SW Sanitary, Kapal LCU.
ANALISIS PENGEMBANGAN INDUSTRI KOMPONEN KAPAL DI DOK PANTAI LAMONGAN
Authors: Hidayat Nasrul
Published: April 2024

Industri komponen kapal memiliki peran yang sangat penting dalam mendukung kemajuan industri galangan kapal dan industri pelayaran nasional. Adanya program Pemerintah untuk mendorong produksi kapal di PT DPL dewasa ini menjadi peluang bagi berkembangnya industri komponen kapal lokal, terutama dengan adanya kebijakan standarisasi kapal. Pengembangan industri komponen kapal di PT DPL merupakan salah satu faktor untuk meningkatkan daya saing galangan kapal nasional dengan cepat. Penelitian ini mengambil studi kasus kapal perintis 750 DWT milik pemerintah. Berdasarkan hasil penelitian, didapatkan potensi pengembangan komponen yang paling besar terletak pada kelompok komponen Hull Construction di mana bobot biaya pada kelompok komponen ini terhadap biaya pembangunan kapal adalah yang paling besar. Kelompok komponen Hull Contruction dipilih berdasarkan karakter komponen-komponen yang ada di dalamnya dan memiliki kemungkinan paling besar untuk dikembangkan industrinya di Indonesia melalui metode AHP.
The Influence of Nigeria's Level of Public Debt on the Country's Ability to Sustain Fiscal Stability
Authors: E. O. Anderson , B. M. Sowunmi
Published: April 2024

This research investigates the impact of public debt exposure on Nigeria's fiscal sustainability through an ex post facto research design. The study utilizes quarterly data from 1986 to 2021, comprising 36 data points sourced from the Central Bank of Nigeria (CBN) and World Bank databases. Employing descriptive statistics, unit root analysis, Johansen cointegration, and Vector Error Correction techniques, the analysis maintains a significance level of 5%. The model exhibits a satisfactory fit with an R-squared value of 0.67 and an Adjusted R-squared value of 0.65. Key factors, including the domestic debt to GDP ratio, external debt to GDP ratio, debt servicing to GDP ratio, economic growth, exchange rate, and interest rate, undergo evaluation for their impact on Nigeria's current account balance and budget deficit/surplus. The findings highlight the external debt to GDP ratio, debt servicing to GDP ratio, economic growth, exchange rate, and interest rate as primary determinants of Nigeria's fiscal responsibility. The study recommends several measures based on these findings. These include managing external debt effectively, prioritizing debt servicing, promoting economic growth, monitoring exchange rates and interest rates, strengthening debt management practices, diversifying revenue sources, enhancing budget discipline, and improving governance.
Electrical Conductivity, Basic Cations and Organic Matter content of Soils under different Land use Practices in AkwaIbom State
Authors: P. I. Okoror , C. T. Amanze
Published: April 2024

Variation in electrical conductivity, basic cations and organic matter content of soils can be influenced by land use practices, and these parameters may be affected by another. The study was conducted to ascertain the electrical conductivity (EC), basic cations and organic matter content of soils under varying land use types and to assess the relationship between electrical conductivity and the other parameters. The land use types were intensively cultivated farmland (ICF), natural forest (NF), oil palm plantation (OPP) and gmelina plantation (GP). Stratified random sampling technic was used in the collection of soil samples from the land use types. Three (3) replicates of bulk soil were collected for each land use giving a total of twelve (12) observational units. Soil samples were prepared and analyzed in a laboratory and data generated were subjected to analysis of variance, regression analysis and descriptive statistics. There was significant (P≤0.05) variation in the measured parameter among soils of the land use types. Soils under ICF, OPP, and GP had similar electrical conductivity of 0.08 (dS/m), while NF had 0.10 (dS/m). Organic matter (OM) content of 13.3 g/kg, 19.0 g/kg, 15.3 g/kg and 18.7 g/kg were observed under ICF, NF, OPP and GP, respectively. Exchangeable calcium at ICL was 2.33 cmol/kg; at NF it was 2.50 cmol/kg; at OPP, it was 2.40cmol/kg, and 1.93cmol/kg at GP. Exchangeable magnesium (Mg) was highest (1.07 cmol/kg) at ICL but lowest (0.93cmol/kg) at GP. Similarly, ICF had highest (1.73cmol/kg) and NF had lowest (0.04 cmol/kg) for exchangeable sodium. Calcium and magnesium had significant (P≤0.05) positive relationships with electrical conductivity, while organic matter and sodium had negative but non-significant relationship with electrical conductivity. The soils do not have salt problem and may not be prone to salinity in the future, meanwhile, organic matter input should be increased at the soil under intensively cultivated farmland.
The Impact of Social Media on Family Relationships (A Study of Jahi, Abuja)
Authors: J. Kabiru , A. Alabi
Published: April 2024

In light of the current surge in heightened social media use and its impact on familial dynamics, it is plausible to posit that social media platforms enhance the experiences of individuals and the family unit. However, submitting this assumption to thorough scrutiny and confirmation is crucial to reach a conclusive determination. Therefore, this study examines the effects of social media utilization on familial connections, with a particular emphasis on the viewpoints of individuals within a region in Abuja, Nigeria. The research maintains its contemporary significance due to the increasing societal need for familial cohesion and connection. In order to achieve the study's objectives, two research questions and their corresponding hypotheses were formulated. The researchers used the Taro Yamane sampling approach to determine an optimal sample size of 171 respondents, derived from a larger population of 300 individuals picked using random selection. The data analysis was conducted via the SPSS software, employing fundamental regression analysis procedures, with a pre-established significance threshold of 0.05. The study's findings indicate a statistically significant correlation between the use of social media and family bonding and face-to-face interaction. Therefore, the study suggests that to alleviate the negative consequences associated with excessive utilization of social media, families should impose limitations on the duration of engagement with social media platforms and prioritize face-to-face interaction. By adopting this approach, families can facilitate transparent communication within the familial setting and cultivate more robust and mutually beneficial relationships.
Medial column fusion for degenerative pesplanovalgus deformity. Report of 9 patients
Authors: FARAJ A.A.
Published: April 2024

Degenerative pesplanovalgus is a progressive disabling condition; there are more than one surgical procedure used in the treatment with varied outcomes. The aim of the current study is to highlight the benefits of the medial column fusion surgery in the treatment of this condition. Nine adult patients with rigid degenerative pesplanovalgus (without significant valgus heel deformity) underwent medial column fusion between January 2015 to December 2020. The procedure was combined with subtalar fusion in four patients and lateral column lengthening in one patient. The mean follow-up period was 19.5 months (range, 15–27). Regular clinical and radiological reviews was carried out in the postoperative period. The mean Manchester Oxford foot score was good in 7 patients, and fair in two patients. The mean Meary angle was 5.8 ± 5.4° preoperatively and improved to 0.9 ± 7.7° at final follow-up, and the mean Pitch angle also improved from 12.5 ± 3.7° preoperatively to 23.2 ± 4.1° (P < .001). In a patient, and at a different stage, talo-navicular fusion was added to the medial column fusion.The outcome of this series of cases was encouraging and medial column fusion continues to be a good option in the management of rigid pesplanovalgus deformity.
Outcomes following surgical fixation of Gustilo-Anderson IIIb open tibial fractures
Authors: CULLEN S , FLAHERTY D , FITZPATRICK N , ALI A , ELKHIDIR I , PILLAI A
Published: April 2024

There is no consensus as to the optimal skeletal fixation method for Gustilo-Anderson IIIb fractures. External fixation methods have previously shown higher rates of superficial infection, whilst internal fixation has shown higher risk of deep infection, but lower risk of other complications. This paper investigates outcomes in open tibial fractures based on fixation method.

A retrospective review was performed for patients presenting to an ortho-plastic unit with GA IIIb tibial fractures between June 2013 and October 2021.

85 patients were identified. The most common implant was an intramedullary nail (IMN), used in 29 patients (34.1%); open reduction and internal fixation (ORIF) was performed in 16 patients (18.8%). 18 patients (21.2%) were definitively managed with a frame alone. Mean follow-up from was 18 months (2-77). Patients with ORIF needed a mean of 3.37 operations; it was 2.48 for IMN which was significantly different from frames at 5.00 (p=0.000).

The mean time to bony union after definitive fixation was 11.4 months. This differed depending on the implant used for fixation, with ORIF at 7.1 months, 10.1 for IMN, and frames at 17.2 months; ORIF significantly differed from frames (p=0.009).

Superficial infection was common, seen in 38.8% of patients, and only 3 patients (4%) developed deep infections involving metalwork, with no difference in rates of either based on fixation method

This study supports that ORIF has faster healing times, with less time to union compared to frames. It also shows that no implant was superior to another in terms of outcomes.
Artificial Intelligence and Public Sector Human Resource Management: Opportunities, Challenges
Authors: Shivani Raina, K. Jayapriya, A. Raj Naveen Chander Mohd. Zafar Shaikh, M. Sankar,
Published: April 2024

We have developed concerning individuals, technology, industry, and different resources because of developing globalization since evolution is an ever-evolving shift through time. Mechanical technology, language acknowledgment, picture acknowledgment, information investigation, and a couple of additional master frameworks is a portion of the innovations that are essential for the evolution of digitization and regularization of artificial intelligence. Organizations, particularly those in the IT sector, are adopting various innovations including virtual reality, augmented reality, artificial intelligence, and others. Human resource management methods must now undergo the same evolution through computerization of work, which might incorporate undertaking, employing achievement (the enlistment and determination process), upgraded ability quality, information examination, and group plan viability. In the current study, we carefully examined and analyzed a sizable number of published papers based on their contributions to the field of knowledge with the quickly developing trend of using artificial intelligence technology in contemporary economics. Additionally, look into how experience and age affect the suggested associations. In order to examine the link between the study's latent variables, a structural framework was established. The findings showed that behavioral intention of HR professionals is significantly influenced by trust and performance expectations. The performance expectations of HR professionals were significantly influenced by trust and technical readiness. Finally, there was no moderating influence of age or experience on the link between performance expectations and behavioral intention and trust. The results of this study help advance the notion of information technology dissemination in human resource management. All the examination of information relating to human resources has attracted the consideration of all organizations late years, and the accentuation has been put on human capital, which is viewed as the essential variable affecting the improvement of the business and its exercises at all degrees of human resource arrangements. It tries to clearly outline the problems that computer scientists are working to address for HR researchers. By emphasizing those that use artificial intelligence, it simultaneously outlines the many and modern IT approaches, tools, and methodologies now in use.
The Design of the External Space of a Neigh Bour Hood Commercial Complex Based on Urban Sharing
Authors: Fan Tao, Wang Jian Wang Huan,
Published: April 2024

As urbanization accelerates and the scale and density of urban population grows rapidly, there is a contradiction between the increasing shortage of urban land resources and the significant reduction in the area of public space per capita in cities, and the increasing demand for a high quality of life and public interaction. Therefore, in an increasingly crowded urban environment, the creation of a commercial external space that is shared with the city and has the attributes of an urban public space becomes the key to this study. Through a comprehensive survey of the current situation of commercial complexes in Shenzhen, four different typical cases of spatial organization, namely Shenzhen Wan Xiang tian di, Shenzhen One Square City, Shenzhen COCO park and Shenzhen Happy Coast (East), are selected as the main objects of this study, and three major design principles (the principle of integration, the principle of compounding and the principle of sharing) are summarized for the external space of a neighborhood-based commercial complex based on urban sharing, and four (interaction and continuity of urban space, integration and optimization of urban texture, three-dimensional connection to urban traffic, and continuity and echo of urban culture) and three design strategies for the use of external space (openness to the city at all times, enhancement of spatial accessibility, and accommodation of various urban activities). The study concludes that the external space of a neighborhood commercial complex should become part of the public space of the city and take on the two-way function of urban and architectural space to achieve the integration and interpenetration of urban and architectural space in order to realize the maximum value of the external space.
Identification of Unusual Visitor Activity Using a Hybrid Gaussian Model in Picturesque Locations
Authors: Aziguli Abudouwaili Ping Xu,
Published: April 2024

The management of tourists in picturesque locations is becoming increasingly crucial due to the rapid growth of the tourism industry. The subsequent issue, though, is the rise in strange visitor behaviours, like carelessly crossing hazardous locations and doing illicit graffiti, among other things. These strange behaviours harm tourist destinations' reputations while also raising the possibility of safety hazards. Because of this, this paper uses a regional feature analysis approach to detect abnormal pedestrian behaviour. Specifically, we begin by modelling the background, obtain the moving target region information through moving target detection, and use the minimum outer rectangular box as the regional feature. Lastly, we compute the aspect ratio of this rectangle, perform curve fitting and prediction, and finally conclude the abnormal behaviour detection process. The method's simplicity and speed are demonstrated by the experimental findings.
Exploration on the Practice of Translation Teaching for English Majors Based on the Internet of Things and Multimedia Assistance
Authors: Yujie Zang Ying Fan,
Published: April 2024

In this paper, an automatic judgment algorithm of English text is proposed, which is split and filtered first, then extracted and optimized, and finally interactively fused, and a BP neural machine judgment system is designed. After machine judgment and teachers' self-judgment of the same English sentence sample, the test results show that the ETSS system has excellent performance, improves the reliability and accuracy of judgment, and reduces the degree of human intervention and misjudgment rate in English translation judgment work. The results of the model translation of the Generalized Maximum Probability Ratio Detection (GLR) algorithm and its recognition include nested data points so that accuracy cannot be effectively guaranteed. In the GLR based comprehensive evaluation of content recognition acquisition improvement, the ID accuracy rate exceeded 95%, and the total result was 92.3%.
Machine Learning Algorithms for Performance Enhancement in DCO-OFDM-Based LiFi Systems
Authors: Yuvaraja Thangavel, L. Raja, E. Kannan S. Senthil Kumar,
Published: April 2024

This study describes how machine learning methods can be used to enhance the performance of LiFi (light fidelity) systems that are based on DCO-OFDM (direct current bias optical orthogonal frequency division multiplexing). LiFi, a rapidly developing technology that uses light for wireless communication, has to contend with issues like channel impairments and signal interference. This work investigates several machine learning strategies to address these problems and improve the DCO-OFDM LiFi systems' overall performance. It is determined how well various machine learning techniques perform in terms of improving system parameters, decreasing latency, and raising throughput by analyzing real-world data and simulation studies. Various sorts of symmetrical recurrence division multiplexing (OFDM, for example, DC one-sided optical OFDM (DCO-OFDM), are utilized in light devotion (LiFi). A critical DC predisposition in DCO-OFDM brings about optical power failure, while a minor inclination increment cutting commotion. In this manner, it's essential to decide the appropriate DC predisposition level for DCO-OFDM. This examination finds the ideal DC-predisposition an incentive for DCO-OFDM based LiFi frameworks utilizing machine learning (ML) algorithms. To do this, a MATLAB device is utilized to create a dataset for DCO-OFDM. Thusly, Python writing computer programs is utilized to apply machine learning methods. ML is used to recognize the basic DCO-OFDM qualities that influence the ideal DC predisposition. Here, it is exhibited that the base, greatest, and standard deviation of the bipolar OFDM signal, as well as the size of the heavenly body, decide the ideal DC inclination.
Implementation of a Spam Detector in Python for Corporate Companies
Authors: Nadir Bakhtiyar Rahimov Sardarov Yagub Bali ,
Published: April 2024

Many companies, while not categorizing spam as a form of attack, may still consider it a significant threat. When referring to spam, it represents an excessive volume of unwanted and unsolicited electronic mail sent to company email accounts [1]. Although it is often used for marketing purposes, in many cases, it is also employed by malicious actors for detrimental purposes against the company. For instance, spam can be used to propagate viruses or infiltrate corporate computers [1] [2]. Furthermore, spammers may send emails with the aim of directing users to phishing web pages, attempting to obtain confidential information from authorized personnel within the company. In general, spam is, at its simplest, an annoying form of mail, and in its worst cases, it serves as an enabler for spyware, viruses, intrusion, and phishing threats [3].
Development of Knowledge Assessment Algorithm in E-Learning Environment
Authors: Ragimova Nazila Ali Sardarov Yagub Bali
Published: April 2024

The development of technology also manifests itself in the educational environment. The traditional education model is already being replaced by the modern online education model. An electronic learning environment is created here. Online education allows people to learn remotely. This is basically a pretty advanced feature for anyone with internet access. It is possible to get access to any classes at any time, regardless of time and place. E-learning, which has many advantages, also helps in the development of individual education.

Electronic universities are one of the places where electronic educational environment is applied. E-universities can offer more advanced services to more students. At the same time, it is possible to choose an individual educational trajectory here. The selection of the individual trajectory of students is carried out on the basis of a certain method. And the management of electronic universities is carried out in electronic form.

The article is devoted to the study of the electronic university project as an electronic educational environment and its main space. Online education, e-learning environment, e-universities, services offered by them, methods and means of implementing individual education, algorithm of e-university management, calculations and examples in this direction are mentioned here.
Artificial Selection Program for the Improvement of Genetics in Bovine Animals
Authors: Julissa Elizabeth Reyna-Gonzalez
Published: April 2024

The present work focuses on the study of animal genetic improvement in bovines of the city of Huánuco with genetic algorithms which will help to improve in each new generation of bovine calves both the physical characteristics and adaptation to new environments, also in improving meat and milk.

Evaluate productive records of animals with multiple crossings to determine differences at the productive level. The data that belong to bovines with multiple racial component belonging to the Huánuco farms dedicated to the production of meat and milk. The high dispersion of the offspring values and the high genetic correlation between the evaluated traits allowed the identification of animals with high genetic merit, meriting their potential use as parents of the next generation.

All of this will serve as a reference for new care processes in raising and feeding bovines
Employers Feedback on the Performance of the College of Computing Studies, Information and Communication Technology (CCSICT) Graduates
Authors: Rosemary L. Buraga
Published: April 2024

This study is an assessment of the employer’s feedback on the performance of College of Computing Studies, Information and Communication Technology (CCSICT) graduates in the workplace with respect to quality and quantity of work, job knowledge, and working relationships.

The study used a descriptive research method utilizing the employers of employed graduates as key informants. The respondents were purposely chosen who are managers or supervisors of companies and institutions of the graduates. Data from the 98 employers were gathered using a survey questionnaire. Weighted mean, frequency count, percentage, and rank were used to interpret the result of the survey.

Results showed that graduates are employed in the Information and Communication Technology (ICT) industry. This means that the graduates have jobs related to their course. The majority of employers who participated in the survey are from the private sector. Employers were very satisfied with the graduate's quality and quantity of work, job knowledge, and work relationship.  The top attributes used to evaluate the graduates' performance were the quantity of work and the working relationships. The findings suggested putting emphasis on written and oral communication skills and improving networking, troubleshooting skills, and graphics and design skills.
Current Trends, Forecasts, and Risks of the Sports Industry in the World and in Slovakia
Authors: Mária Hudáková, Peter Kardoš
Published: April 2024

The essence of the paper is to present the results of the analysis of current trends, forecasts, and risks of the sports industry in the world and in Slovakia, which are the basis for the solution of a scientific project in Slovakia. The processed results are based on the analysis of different views on current changes, trends, and problems in the sports industry in the world. Other results represent the identification of strategic risks of the concept of sports development in Slovakia from the established six strategic pillars point of view. The benefit of the paper is to participate in the developing discussion about the direction of the sports industry not only in Slovakia but also in the world. The authors of the paper want to contribute to raising awareness about the effective management of sports organizations and their impact on the entire society. Also, increase interest in prevention and paying more attention to risk management in sports organizations.