bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of Human Development Index in East Java Province
Authors: Kusuma Sari Putri Bintang 
Published: July 2023

Development policies implemented in developing countries are identified with increasing economic growth, even though without realizing it, increasing economic growth alone is not sufficient and describes the goals of national development. As time goes by, there is a paradigm shift, namely economic development which is seen from improving the quality of human resources that occurs in an area. East Java Province is a province with the lowest HDI compared to other provinces on the island of Java, this ranking is seen based on the HDI achievements of East Java Province from 2015 to 2019. The purpose of this study is to identify and analyze the factors that influence the Human Development Index (HDI). in East Java Province. The analytical tool used is panel data regression which consists of cross data of 38 regencies/ cities in East Java Province in 2015-2019. The results show that the panel data regression estimation model is a Fixed Effect Model with an adjusted R² value of 0.989623. Variables that have a significant effect on HDI are dependency ratio (population dependency load) with a regression coefficient of -3.33988, open unemployment rate regression coefficient -0.117510, and regional expenditure regression coefficient of 4.570.
Kebijakan pembangunan yang dijalankan di negara berkembang identik dengan peningkatan pertumbuhan ekonomi, padahal tanpa disadari peningkatan pertumbuhan ekonomi saja tidak cukup memadai dan menggambarkan tujuan pembangunan nasional. Seiring berjalannya waktu terjadi perubahan paradigma yaitu pembangunan ekonomi yang dilihat dari peningkatan kualitas sumber daya manusia yang terjadi disuatu daerah. Provinsi Jawa Timur merupakan Provinsi dengan besaran IPM terendah dibandingkan dengan Provinsi lain di Pulau Jawa, peringkat ini dilihat berdasarkan capaian IPM Provinsi Jawa Timur tahun 2015 hingga tahun 2019. Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis faktor yang mempengaruhi Indeks Pembangaunan Manusia (IPM) di Provinsi Jawa Timur. Alat analisis yang digunakan adalah regresi data panel yang terdiri dari data silang sebanyak 38 Kabupaten/Kota di Provinsi Jawa Timur tahun 2015-2019. Hasil penelitian menunjukan bahwa model estimasi regresi data panel adalan Fixed Effect Model dengan nilai adjusted R² sebesar 0.989623 . Variabel yang berpengaruh signifikan terhadap IPM adalah dependency ratio (beban ketergantungan penduduk) dengan koefisien regresi -3.33988, tingkat pengangguran terbuka koefisien regresi -0.117510 dan belanja daerah koefisien regresi 4.570.
The Effect of Economic Factors on Property Crime Rates
Authors: Anggrayni Ade Sintia 
Published: July 2023

This research is motivated because the number of property crimes on the island of Sumatera is the highest in Indonesia during the 2014-2019 period. This study aims to examine the economic factors that influence property crime on the island of Sumatera. The type of data used is secondary data. The type of data used is panel data which is a combination of cross-section data from 10 provinces on the island of Sumatera and time series data for 2014-2019. The analytical method used is panel data regression analysis. The best model chosen is the Fixed Effect Model (FEM). The results of this study indicate that GRDP growth and unemployment have no significant effect, while poverty, income inequality, and per capita expenditure have a significant positive effect on property crime. The value of R2 is 0.9521, meaning that the independent variable can explain the dependent variable by 95.21%.
Penelitian ini dilatarbelakangi karena jumlah kejahatan harta benda di Pulau Sumatera terbanyak di Indonesia selama periode 2014-2019. Penelitian ini bertujuan untuk meneliti faktor-faktor ekonomi yang mempengaruhi kejahatan harta benda di Pulau Sumatera. Jenis data yang digunakan adalah data sekunder. Tipe data yang digunakan adalah data panel yang merupakan kombinasi data cross section 10 Provinsi di Pulau Sumatera dan data time series tahun 2014-2019. Metode analisis yang digunakan adalah analisis regresi data panel. Model terbaik yang terpilih adalah Fixed Effect Model (FEM). Hasil penelitian ini menunjukkan bahwa Pertumbuhan PDRB dan pengangguran tidak berpengaruh signifikan, sedangkan kemiskinan, ketimpangan pendapatan dan pengeluaran per kapita berpengaruh positif signifikan terhadap kejahatan harta benda. Nilai R2 sebesar 0,9521, artinya variabel independen dapat menjelaskan variabel dependen sebesar 95,21%.
Determinants of Employment Level in Java Island Primary Sector
Authors: Halisah Ika Nur 
Published: July 2023

This study aims to analyze the factors that affect the level of employment in the primary sector in Java in 2015-2019. The variables used are the level of employment opportunities, the level of the provincial minimum wage, foreign investment, domestic investment, and the average length of schooling. The method used in this study is panel data regression analysis using Eviews 9 software. This study uses a combination of cross section data from six provinces in Java and time series data for 2015-2019. The results show that the appropriate panel data regression estimation model is the Fixed Effect Model (FEM) with an R2 value of 0.932927. The WAGE Level (X1) and Average Length of School (X4) variables have a negative and significant effect on Employment Opportunity Rate. While the FI (X2) and DI (X3) variables have a positive and significant effect on Employment Opportunity Rate.
Penelitian ini bertujuan untuk menganalisis faktor- faktor yang mempengaruhi Tingkat Kesempatan Kerja pada sektor primer di Pulau Jawa pada tahun 2015-2019. Variabel yang digunakan yaitu Tingkat Kesempatan Kerja, tingkat Upah Minimum Provinsi, Penanaman Modal Asing, Penanaman Modal Dalam Negeri, dan rata-rata lama sekolah. Metode yang digunakan dalam penelitian adalah analisis regresi data panel menggunakan software Eviews 9. Penelitian ini menggunakan gabungan data cross section enam provinsi yang ada di Pulau Jawa dan data time series tahun 2015-2019. Hasil penelitian menunjukkan bahwa model estimasi regresi data panel yang sesuai adalah Fixed Effect Model (FEM) dengan nilai R2 sebesar 0,932927. Variabel Tingkat WAGE (X1) dan Rata-rata Lama sekolah (X4) berpengaruh negatif dan signifikan terhadap Tingkat Kesempatan Kerja. Sedangkan variabel FI (X2) dan DI (X3) berpengaruh positif dan signifikan terhadap Tingkat Kesempatan Kerja.
Forecasting the Inflation Rate in Central Java Using ARIMA Model
Authors: Marpaung Grace Natalia , Soesilowati Etty , Rahman Yozi Aulia , Tegar Yuan Daniel , Yuliani Rizka 
Published: July 2023

One of the important aspects of the economy is the maintenance of prices in general. Indonesia's economy is still mostly focused on Java Island, one of which is Central Java. This study aims to analyze the projection of inflation rate in Central Java in the future by using the Box Jenkins method or what is called the Auto-Regressive Integrated Moving Average (ARIMA). The data used is monthly time series inflation data in the period January 2016 - April 2021 which is obtained from the Central Java Province Statistics Agency. The analysis conducted in this study, it shows that the best model is ARMA (3,0,3) or AR (3) and MA (3). The results show that inflation will tend to increase in the next few months. In the future, it is estimated that Bank Indonesia will continue to implement an expansionary monetary policy to stimulate the economy and achieve the inflation target, which is currently still low.
Salah satu aspek penting dalam perekonomian adalah terjaganya harga-harga secara umum. Perekonomian Indonesia masih banyak bertumpu di Jawa Tengah. Penelitian ini bertujuan untuk menganalisis proyeksi laju inflasi di Jawa Tengah ke depannya dengan menggunakan metode Auto Regressive Integrated Moving Average (ARIMA). Data yang digunakan adalah data inflasi runtut waktu (times series) bulanan dalam kurun waktu Januari 2016 – April 2021 yang diperoleh dari Badan Pusat Statistik Provinsi Jawa Tengah. Dari analisis yang dilakukan dalam penelitian ini menunjukkan bahwa model terbaik adalah ARMA (3,0,3 ) atau AR (3) dan MA (3) dengan stasioneritas pada tingkat level. Hasil penelitian menunjukkan bahwa inflasi akan cenderung meningkat dalam beberapa bulan ke depan. Ke depan, Bank Indonesia diperkirakan akan terus menerapkan kebijakan moneter ekspansif untuk mendorong perekonomian dan mencapai sasaran inflasi yang saat ini masih rendah.
The Effect of Economic Growth, Unemployment, and Savings on Interest Rates and Inflation
Authors: Wulansari Diyah Ayu , Prasetyo P Eko 
Published: July 2023

Inflation, interest rates, savings, economic growth, and unemployment are macroeconomic fundamental variables that are important and mutually influential and must remain stable. The purpose of this study is to determine the direct, indirect, and total effect of economic growth, unemployment and savings on interest rates and inflation in Indonesia. The method of analysis used multiple regression standard model and path analysis. The type of data used is secondary time series data for 33 years (1986-2019) obtained from BPS and the World Bank. The main research results show that macroeconomic fundamental variables; saving, economic growth and unemployment have a negative and significant effect both directly on inflation and indirectly through interest rates on inflation. The first largest contribution is from economic growth, and the smallest contribution is from the unemployment variable. This research provides policy implications to maintain macroeconomic stability, first of all to increase high and quality economic growth and maintain low unemployment.
Inflasi, suku bunga, tabungan, pertumbuhan ekonomi, dan pengangguran merupakan variabel fundamental makro ekonomi yang penting dan saling berpengaruh serta harus tetap dapat dijaga stabilitasnya. Tujuan penelitian ini untuk mengetahui pengaruh langsung, pengaruh tidak langsung dan pengaruh total dari pertumbuhan ekonomi, pengangguran dan tabungan terhadap suku bunga dan inflasi di Indonesia. Metode analisis digunakan regresi berganda model baku dan path analysis. Jenis data digunakan data sekunder time series selama 33 tahun (1986-2019) yang diperoleh dari BPS dan World Bank. Hasil riset utama menunjukkan bahwa variabel fundamental makro ekonomi; tabungan, pertumbuhan ekonomi dan pengangguran berpengaruh negatif dan signifikan baik secara langsung terhadap inflasi dan secara tidak langsung melalui tingkat suku bunga terhadap inflasi. Kontribusi pengaruh terbesar pertama diberikan dari pertumbuhan ekonomi, dan sumbangan terkecil dari variabel pengangguran. Riset ini memberikan implikasi kebijakan untuk menjaga stabilitas ekonomi makro, terlebih dahulu harus ditingkatkan pertumbuhan ekonomi tinggi dan berkualitas serta menjaga pengangguran yang rendah.
Analysis of Spreading Investment Pattern in Central Java
Authors: Hidayat Kukuh 
Published: July 2023

The purpose of this research is to analyze the shifting pattern of spreading investment that occurs in Central Java from 2015-2019. This will also classification which area is still low on investment in Central Java in 2019. Furthermore, the research will reveal the factors that affect the spreading of investment in Central Java. The variables used in this research are PMA and PMDN investment, workforce, Consumer Price Index, Regional Minimum Wage and Tax. This research uses datacross-sectionn and time series from 2015 to 2019 that came from DPMPTSP Central Java, Bappenas, and BPS. The method for this research is Entrophy Theil Index, Klassen Typology and Regression.
Tujuan penelitian ini untuk menganalisis pola penyebaran investasi yang terjadi di Jawa Tengah tahun 2015-2019, mengklasifikasikan daerah yang masih kekurangan, dan faktor-faktor yang mempengaruhi penyebaran investasi di Jawa Tengah. Variabel yang digunakan dalam penelitian ini adalah Investasi PMA dan PMDN, Tenaga Kerja, IHK, UMR dan Pajak. Data yang digunakan dalam penelitian ini adalah data cross section dan time series dari tahun 2015-2019 yang bersumber dari DPMPTSP Jawa Tengah, Bappenas dan Badan Pusat Statistik (BPS). Metode yang digunakan dalam penelitian ini adalah Entrophy Theil Indeks, Tipologi Klassen dan Regresi. Hasil dari penelitian ini menunjukan adanya pola yang memusat dalam persebaran investasi di Jawa Tengah dan terdapat 8 daerah yang masih minim mendapatkan alokasi investasi di Jawa Tengah pada tahun 2019.
Constitucionalismo y participación política en los Estados del norte de África: una visión histórica
Authors: López García Bernabé 
Published: July 2023

La historia constitucional de los países del Norte de África puede dividirse cronológicamente en dos grandes momentos históricos y geográficamente en dos espacios bien diferenciados desde el punto de vista geopolítico. Los momentos citados corresponderían, el primero, a lo que se podría considerar como la prehistoria constitucional, conformada por los ensayos constitucionales llevados a cabo durante el siglo XIX en Túnez y Egipto y que corren en paralelo a las Tanzimat otomanas –de las que en buena parte son consecuencia- y, el segundo, a las constituciones de los estados independientes que se inician con la constitución egipcia de 1923 y que tardarán más de un cuarto de siglo en concretarse en los países del Magreb. Los espacios geográficos serían, de un lado Egipto, con una vida independiente muy en avance con respecto al resto del mundo árabe, y de otro, los países del Magreb, controlados en su mayor parte por una misma potencia colonial, Francia, que dejará su impronta en la vida política de la región.AbstractThe constitutional history of North African countries can be divided chronologically into two great historical moments and geographically into two clearly differentiated spaces from a geopolitical point of view. The historical moments correspond, first, to what could be considered as constitutional prehistory, formed by the attempts at constitutionalism that took place during the 19th century in Tunisia and Egypt parallel to the Ottoman Tanzimat – of which they were largely a consequence – and secondly, to the constitutions in the independent states, that began with the Egyptian Constitution in 1923 but would take more than a quarter century to become established in the countries of the Maghreb. The geographical spaces are, on the one hand, Egypt, with an independent life well in advance of the rest of the Arab world, and on the other, the countries of the Maghreb, controlled to a large extent by the same colonial power, France, which would leave its imprint on political life in the region.
Applying life cycle analysis for materials selection in Li-O2 batteries
Authors: Chen-Glasser Melodie , Landis Amy E. , DeCaluwe Steven C. 
Published: July 2023

Abstract
Greenhouse gas emission reduction is often cited as a reason for high energy density, next-generation battery development. As lithium-O2 battery research has progressed, researchers have examined the potential of many novel materials in the drive to reduce parasitic reactions and increase capacity. While the field has made great strides towards producing more reliable batteries, there has been little verification that lithium-O2 batteries will reduce net environmental impacts. This paper examines how material selection ultimately impacts lithium-O2 battery environmental impacts. Given that researchers should not wait until lithium-O2 batteries reach commercialization to assess their environmental impact, this paper describes how to incorporate LCA as an integral part of the battery design process. Furthermore, it provides impact factors of many relevant materials to increase the ease of LCA for the field.

Graphic abstract
Impact of Pseudomonas aeruginosa, Bacillus subtilis, Staphylococcus aureus, and Escherichia coli Oral Infusions on Cognitive Memory Decline in Mild Cognitive Impairment
Authors: Mukilan Murugan 
Published: July 2023

Synaptic plasticity is a result of changes in the neuronal circuits which may result in the formation of protein-dependent (long-term memory (LTM) formation) and protein-independent (short-term memory (STM) formation) memories. This STM formation is based on existing proteins, but LTM formation depends on RNA and protein synthesis within the neuronal cells. This RNA and protein synthesis may depend on stimulus exposure like odour, taste, and other environmental stimuli. The present study is aimed to show the impact of oral bacterial infusions on cognitive memory formation through pre and post-infusive behavioural analysis. The results of the study revealed that oral infusions of Pseudomonas aeruginosa, Bacillus subtilis, Staphylococcus aureus and Escherichia coli result in impaired cognitive learning and memory formation. This impaired cognitive memory formation is shown with the help of two-step (pre and post-infusive) behavioural analysis. Pre-infusive behavioural study shows no decline in cognitive learning and memory formation before oral microbial infusions in a serene habituated environment. After oral microbial infusions, a post-infusive behavioural analysis may reveal a memory decline in the treated group. Comparative two-step behavioural analysis indicates that P. aeruginosa infusions strongly impact cognitive memory decline compared to the other three groups. This cognitive memory decline may happen due to the production of primary/secondary metabolites within the animal gut and their transportation to the CNS through the blood-brain barrier. The outcome of the present study states that poor oral hygiene plays a significant role in cognitive memory decline concerning mild cognitive impairment (MCI).
Effect of Transpiration on the Monocot Ornamental Plants Leave Anatomy
Authors: Febriyani Pangesti Ayu Wandari , Daningsih Entin , Mardiyyaningsih Asriah Nurdini 
Published: July 2023

Transpiration refers to the loss of water from leaves, and increased levels can lead to changes in leaf morphology and anatomy, affecting the total thickness. This study aims to determine the effect of transpiration on leaf anatomy, particularly thickness, in six types of monocots ornamental plants, namely Rhoeo discolor (L'Her.) Hance ex Walp., Hymenocallis littoralis (Jacq.) Salisb., Cordyline fruticosa (L.) A. Chev., Chlorophytum laxum R. Br, Dracaena reflexa Lam, and Aglaonema commutatum Schott. The study procedures were conducted using a Factorial Completely Randomized Design (Factorial CRD) with an experimental approach. The first factor was the type of plant, while the second was the condition before and after transpiration. The data obtained were analyzed using ANOVA, followed by LSD and Pearson correlation tests. The results showed that the plant type factor significantly affected the thickness of leaf tissues. The conditions before and after transpiration also significantly impacted all leaf tissues except for the lower epidermis. Furthermore, this finding was supported by the positive correlation between the thickness shrinkage of the upper epidermis-mesophyll and transpiration. The results also revealed that the mesophyll of R. discolor, C. laxum, D. reflexa, and A. commutatum differentiated into palisade and spongy layers, but there was no differentiation in the other two species. The transpiration rate was observed to change along with the specific anatomical structure of the leaf tissues. The lowest rate was found in R. discolor with thicker hypodermis tissue, while the highest was in C. laxum with thinner mesophyll.
Predictive role of lymphocyte subsets in COVID-19 patients
Authors: Jagtap Sunil Vitthalrao , Shah Pranjal Setul 
Published: July 2023

Coronaviruses: CoVs, is related to the family of Coronaviridae. The SARS-CoV-2: severe acute respiratory syndrome coronavirus 2, is unique strain of RNA viruses. The recent pandemic caused by coronavirus SARS-CoV-2 is threatening the human population worldwide. The patients with severe forms may develop severe pneumonia and may fatal. The COVID-19 range from a mild to severe form., SARS-CoV-2 infected patients shows severe lymphopenia in about 2/3 cases. In patients with severe disease lymphocyte subset counts in the peripheral blood owere significantly reduced. The predictor biomarker for assessing disease and monitoring with SARS-CoV-2 infection is done by peripheral blood CD4+ and CD8+ T cells' count. It is necessary to do more studies on larger populations and detail understanding of Tell immunity and for new treatment strategies.
Manipulating macrophage polarization through gene manipulation techniques in lung injury
Authors: Chakravarthi Srikumar , Jun Li , Karikalan Barani 
Published: July 2023

Macrophages play a critical role in lung injury and repair processes. Their functions can be broadly classified into two polarized phenotypes. The M1 macrophages promote inflammation and defense against pathogens, while the M2 macrophages are involved in tissue repair and resolution of inflammation.Gene manipulation techniques can be used to modulate macrophage polarization during lung injury. 1. Transcription factors: Transcription factors are proteins that regulate gene expression. Manipulating the expression or activity of specific transcription factors can influence macrophage polarization. 2. Cytokines and chemokines: Cytokines and chemokines are small signaling molecules that mediate immune responses. They can be used to manipulate macrophage polarization by inducing the expression of specific cytokines. 3. MicroRNAs (miRNAs): miRNAs are small non-coding RNA molecules that regulate gene expression at the post-transcriptional level. Certain miRNAs have been identified as regulators of macrophage polarization. 4. Genetic engineering: Genetic engineering techniques, such as CRISPR-Cas9, can be used to directly modify genes involved in macrophage polarization. By introducing specific genetic modifications, researchers can enhance or suppress the expression of genes associated with M1 or M2 polarization.Manipulating macrophage polarization through gene manipulation techniques holds promise for modulating immune responses and promoting lung repair during injury.
Suplementación con ensilaje de frutas en vacas doble propósito: digestibilidad y producción láctea
Authors: Castañeda Serrano Román David , Gonzáles Bermeo José Flaminio , Velez Giraldo Alejandra María 
Published: July 2023

En condiciones del trópico colombiano es necesario establecer estrategias de alimentación que permitan aumentar la productividad a bajo costo. El objetivo de esta investigación fue evaluar el efecto de la suplementación con ensilados de totumo, mango, guayabo de monte sobre la digestibilidad in vitro, degradabilidad y parámetros productivos en vacas doble propósito. El estudio realizado en una finca ubicada, municipio de Puerto Boyacá, se usaron 32 vacas (Gyr x Holstein), distribuidas en cuatro (4) grupos de ocho (8) cada uno, conformados de la siguiente manera: T1: grupo control: sin ensilajes; T2: ensilaje de Guayabo de monte; T3: ensilaje de Totumo y T4: ensilaje de Mango común. Todas las vacas permanecían en pastoreo rotacional con Brachiaria decumbens, agua a voluntad y sal mineralizada. No hubo diferencias (P<0,05) en la producción diaria de leche entre los tratamientos evaluados, sin embargo, el porcentaje de proteína en leche fue mayor (p<0,05) en los tratamientos T2 y T4. EL NUL fue mayor en el T2 y menor en el T4. El consumo de ensilajes fue mayor (p<0,05) en el T4 y la condición corporal mostro ser mejor para los tratamientos T2 y T4, finalmente para los parámetros de degradabilidad y digestibilidad in vitro, los tratamientos T2, T3 y T4 obtuvieron los mayores valores respectivamente. La suplementación de vacas doble propósito con ensilajes de frutos del bosque húmedo tropical mejora la proteína de la leche y la condición corporal de las vacas. Los ensilados estudiados, poseen alta tasa de degradación y digestibilidad In vitro, representando una alternativa de alimentación en los rumiantes.