bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peran Pemerintah Dalam Memberikan Kepastian Hukum Bagi Masyarakat Suku Bajo Di Desa Torosiaje Laut
Authors: Jumriani Andi Esse , B. Sumiyati , Darmawati Darmawati 
Published: June 2023

Tujuan hukum yang mendekati realitas adalah kepastian hukum, kepastian hukum merupakan sesuatu yang harus di berikan oleh setiap warga Negara Indonesia agar Hubungan hukum antara orang, termasuk badan hukum, dengan bumi, air dan ruang angkasa serta wewenang-wewenang yang bersumber pada hubungan hukum , Tulisan ini bertujuan untuk mengetahui peran pemerintah daerah dalam memberikan kepastian hukum kepada masyarakat suku bajo yang ada di desa torosiaje laut terkait mengenai hak atas rumah atau bangunan yang mereka tempati. Metode penelitian yang digunakan adalah penelitian hukum Empiris Dalam metode penelitian hukum Empiris peneliti melakukan penelitian lapangan dengan memfokuskan perhatian pada isu hokum sebagai masalah tentang adanya kesenjangan antara keharusan yakni perintah dan laranan (das sollen) yang termuat dalam berbagai peraturan. Hasil yang diperoleh adalah rumah atau bangunan yang mereka tempati belum memiliki kepastian hukum, hal ini dikarenakan kantor BPN Pohuwato belum menerbitkan sertifikat dengan alasan belum ada aturan atau Perda untuk masyarakat suku bajo terkait dengan kepemilikan tanah dan juga belum ada izin dari dinas kelautan terkait aturan KPR untuk rumah atau bangunan di Desa Torosiaje laut. Untuk mengatasi permasalahan dalam memberikan kepastian hukum terhadap masyarakat suku bajo terkait atas rumah atau bangunan di atas laut kepada masyarakat suku bajo olehnya itu, Pemerintah daerah dalam hal ini DPRD Kabupaten Pohuwato sudah seharusnya melahirkan Perda terkait pemanfaatan wilayah laut untuk pemukiman penduduk, dan juga dinas kelautan memberikan izin dan mengatur luas KPR pemukimanya sehingga BPN Pohuwato bisa mengeluarkan setifikat hak pakai untuk masyarakat Suku Bajo Di Desa Torosiaje Laut.
Development of an angle detection system for channeling implantation to the c-axis of SiC using birefringence phenomenon
Authors: Kato Masashi , Maruhashi Takumi , Sato Hisaya , Yonezawa Yoshiyuki 
Published: June 2023

Abstract
We developed an angle detection system for channeling ion implantation in 4H-SiC using the birefringence phenomenon. Our optical method detects the c-axis direction in 4H-SiC due to its uniaxial optical properties. The system, consisting of a laser, polarizer, gonio stage, and analyzer, is simple and cost-effective. We conducted experiments on both on-axis and off-axis 4H-SiC (0001) samples, presenting angular dependence results around the [1–100] and [11–20] rotations. Despite the need for consideration of light incident angles, the performance was comparable to Rutherford backscattering spectrometry. These findings suggest the potential application of our system in channeling implantation to the c-axis of 4H-SiC.
A Survey of Named Data Networking (NDN) Forwarding Strategies for Wireless Networks
Authors: G Athisha 
Published: June 2023

<p>Any network transfers a set of data bits. The function of a network architecture is to determine how this data is delivered. Today’s TCP/IP protocol architecture accomplishes this data transfer by a communication model which uses the names of the source and destination. Named Data Networking (NDN) is designed to network various computing devices from IoT sensors to cloud servers by naming the data bits. This architecture empowers the network to retrieve the named data by considering network, storage and computing resources in the same way as TCP/IP.NDN replaces the IP host – to – host data delivery model into a data retrieval model. Data consumers do not specify the location of the data, whereas they specify interests as desired data names. The NDN’s important features like location – independent named data, in-network caching and lightweight forwarding make it an attractive alternate solution for wireless environments. Thus this paper aims at the survey of forwarding strategies for various wireless networks </p>
A Cointegration and Clustering-based Approach to Pair Trading of Stocks from Selected Sectors of the Indian Stock Market
Authors: Sahu Aayush , Singh Anirudh Pratap , Pradhan Ashutosh , Shukla Gopad Kumar , Rizvi Saif , Bugata Umesh Kumar , Sen Jaydip 
Published: June 2023

<p>This work presents a cointegration-based pair-trading strategy for identifying stock pairs with substantial cointegration in their prices across four years (January 1, 2018, to December 31, 2021). After the Cointegrated pairs are determined, pair-trading portfolios are created, and portfolio performance is tracked during a one-year test period (January 1, 2022, to December 31, 2021). Suitable trigger points are determined utilizing a very powerful spread detection system, allowing both stocks' short and long positions to be precisely recognized. The yearly return of a portfolio is used to assess its performance. First, twelve sectors of stocks from the National Stock Exchange (NSE) of India are selected. According to the NSE's monthly report for the month of December 31, 2022, the top ten stocks in terms of their free-float market capitalization from the twelve sectors are selected. Pair trading portfolios are built using pairs from each sector that demonstrated cointegration of close prices from January 1, 2018, to December 31, 2021. The portfolios are evaluated based on their return from January 1, 2022, to December 31, 2022. Furthermore, clustering-based techniques were used to identify stocks that behaved similarly for the period of four years i.e., January 1, 2018, to December 31, 2021. This was performed by using three clustering techniques and the best technique, based on their respective results, was chosen to identify the clusters to verify the cointegrated pairs. Henceforth, the pairs which were common in both cointegration, and clustering techniques were regarded as the most recommended pairs for trading. The work makes three distinct contributions. First, the paper provides a cointegration-based pair trading strategy for stock portfolio creation, that can be used to earn profit by the investors in the stock market. Second, the pair-trading models are trained and tested on real-world stock market data, with the results displayed to illustrate the models' efficacy. Finally, since the stocks utilized in the pair trading portfolio designs are drawn from various NSE sectors, the outcomes of the pairings are an excellent signal of the possible profit that investors could make if they invest in those sectors using the recommended pair-trading technique. </p>
Targeted and Immunotherapy Approaches in HER2-Positive Gastric and Gastroesophageal Junction Adenocarcinoma: A New Era
Authors: Radford Maluki , Abushukair Hassan , Hentzen Stijn , Cavalcante Ludimila , Saeed Anwaar 
Published: June 2023

ABSTRACT
HER2-targeted therapy with the HER2 monoclonal antibody trastuzumab has achieved impressive outcomes in the first-line settings of patients with advanced gastric and gastroesophageal junction (GEJ) adenocarcinoma overexpressing HER2. However, considering that a substantial proportion of those patients eventually relapses, as well as the relatively limited performance of those agents in second-line settings, a deeper understanding of resistance mechanisms is needed for enhanced guidance for patients’ therapeutic selection in the second-line setting and beyond. In this review, we highlight trastuzumab’s (HER2-targeting agent) performance in patients with gastric or GEJ cancer, with insight into mechanisms of resistance. We also discuss the new integration of PD-1 inhibitor pembrolizumab into the trastuzumab for gastric cancer frontline regimen, the latest addition of trastuzumab deruxtecan to the treatment armamentarium, and the potential of pipeline HER2-targeting approaches and combinations in patients with gastric or GEJ adenocarcinoma.
Interesses de estudantes gaúchos em Ciências da Natureza e suas relações com as Unidades Temáticas da BNCC
Authors: Da Rosa Poliana Antunes , De Tolentino-Neto Luiz Caldeira Brant 
Published: June 2023

O presente estudo dedica-se a discorrer sobre as preferências dos estudantes dos Anos Finais do Ensino Fundamental com relação aos temas de interesses nas aulas de Ciências da Natureza. A investigação foi realizada em uma escola estadual da região central do Rio Grande do Sul, por meio de um questionamento aos educandos do 6º ao 9º ano sobre seus Objetos de Conhecimentos de preferência nas aulas do Componente Curricular. Ao serem interrogados sobre “Quais os temas despertam seu interesse nas aulas de Ciências”, os resultados foram agrupados dentro das Unidades Temáticas da Área de Conhecimento de Ciências da Natureza da BNCC, a saber: I) Matéria e Energia; II) Vida e Evolução e III) Terra e Universo. Os resultados evidenciam a preferência pelos Objetos de Conhecimento da Unidade Temática Vida e Evolução, em detrimento das demais apresentadas pela Base Nacional Comum Curricular (BNCC). Os resultados vão ao encontro dos dados coletados em uma amostra estadual do questionário ROSES - Relevância da Educação em Ciências. A partir do conhecimento dos tópicos de maiores interesses dos estudantes, pode-se delinear caminhos para as políticas públicas e a atuação docente, principalmente para que despertem a participação ativa dos jovens nas aulas de Ciências e sua motivação para aprender.
Forecasting area, productivity and prices of mango in Valsad District of Gujarat: Time series analysis
Authors: Garde Yogesh , Chavda R. R. , Thorat V. S. , Pisal R. R. , Shrivastava Alok , Varshney Nitin 
Published: June 2023

Mango on an average account approximately 75 per cent of total production quantity. India is the largest mango producer, accounting for about half of the world-wide mango production. Forecasting of area, production and price fluctuations are the key to provide support in decision making and proper planning for sustainable growth of farmers and other people who are dependent on horticulture. The prices of mango are affected by cultivated area and yield of mango but in other ways pre or post-harvest management also affects it. The problems regarding the price fluctuations arise due to seasonality in arrival and its perishable nature. Therefore, the present study was carried out with time series intervention modelling in forecasting area, productivity and prices of mangoes. In the current investigation, simple exponential smoothing (SES) implemented to develop the forecasting models for area and productivity of mango. Under the SES, the error measurements at different values of alpha (a) for forecasting of area and productivity were observed that the value 0.8 and 0.9 of alpha (a) showed minimum Mean Absolute Percentage Error (MAPE) error i.e. 3.11 per cent, and 12.73 per cent, respectively. The study also developed time series ARIMA models for forecasting the prices of the mango (Keshar and Alphonso) for Valsad markets of Gujarat. It was showed that ARIMA (6, 1, 2) and ARIMA (1, 1, 2) were found good models for forecasting the prices of the Keshar and Alphonso, respectively in Valsad district of Gujarat
Variability and correlation studies in bacterial wilt resistant advanced tomato lines (Solanum lycopersicum L.)
Authors: Sadat Sayed Hasibullah , Chadha Sanjay , Sharma Shaina 
Published: June 2023

Twenty bacterial wilt resistant lines including recently developed lines at CSKHPKV, Palampur (08) were studied to ascertain the extent of genetic variability, the type and magnitude of correlation between component characters & marketable yield, as well as the direct and indirect impacts of every character on marketable yield. For all variables except plant survival, analysis of variance exhibited significant differences across genotypes. Phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) values for lycopene content (80.581%, 80.148%), titrable acidity (73.666%, 71.219%), marketable yield / plant (53.953%, 52.598%), marketable fruits / plant (34.994%, 34.050%), gross yield / plant (34.094%, 30.553%), average weight of fruit (30.558%, 29.13%), locules / fruit (28.549%, 25.050%), and ascorbic acid (23.641%, 20.919%) respectively, were found high across different parameters of variability. Marketable yield / plant (95.043%, 45.633%), marketable fruits /plant (94.68%, 68.252%), titrable acidity (93.467%, 48.838%), average weight of fruit (90.877%, 57.206%), gross yield / plant (80.305%, 56.402%), ascorbic acid (78.295%, 38.130%), and locules / fruit (76.985%, 45.276%) were found with high heritability and high genetic advance. Marketable yield / plant was significantly and positively associated with average weight of fruit (0.734, 0.795), gross yield / plant (0.774, 0.853), marketable fruits / plant (0.734, 0.742), pericarp thickness (0.693, 0.806), ascorbic acid (0.381, 0.469), titrable acidity (0.347, 0.364) and locules/ fruit (0.284, 0.345) at both phenotypic as well as genotypic levels, respectively. Path coefficient analysis showed that marketable fruits / plant (0.589, 0.608), gross yield / plant (0.278, 0.617) and average weight of fruit (0.382, 0.182) are the three main parameters that had the greatest positive direct impact on marketable yield / plant at the phenotypic and genotypic levels, respectively
Study of correlation and path coefficient analysis for yield attributing traits in selected rils of diverse wheat (Triticum aestivum L.) genotypes for heat tolerance
Authors: Singh Harpreet , Singh Bikram , Tiwari Sunidhi , Yadav Om Prakash , Kohli Surbhi , Ali Zafar , Kumar Rakesh 
Published: June 2023

Rising temperature has adversely affected wheat production globally. In this realm we studied various morpho-physiological traits governing heat tolerance using thirty bread wheat RILs developed via crossing LOK-1 x HUW- 468, LOK 1 x HUW 234 and Raj-4014 x PBN-51. Correlation studies reflected that traits like number of tillers per plant, plant height, and chlorophyll content were significantly positive correlated with grain yield per plant, on the other hand, path coefficient analysis revealed that the chlorophyll content (0.362) and tillers per plant (0.222) showed a significant positive correlation with grain yield per plant, whereas significant negative correlation for grain yield was exhibited with relative water loss (-0.392) and canopy temperature (-0.402) at genotypic level.
SÜNİ NEYRON ŞƏBƏKƏLƏRİNİN ÜRƏK TƏSVİRLƏRİNİN SEQMENTASİYASINDA TƏTBİQİ
Authors: Məmmədov Tunar, Rəhimova Yelena Məmmədov Tunar, Rəhimova Yelena 
Published: June 2023

Süni Neyron Şəbəkəsi (SNŞ) kompüter elmində yeni texnologiya kimi qəbul edilən Süni intellektin bir qoludur. Bu, bioloji neyron şəbəkələrinin strukturunu və funksiyalarını simulyasiya etməyə çalışan riyazi modeldir. SNŞ dizaynı və funksiyaları beyin, onurğa beyni və periferik qanqliyaları əhatə edən bioloji neyron şəbəkələrinin əsas tikinti bloku olan bioloji neyronun müşahidəsindən əldə edilir. Süni neyron şəbəkələri (SNŞ) müxtəlif tətbiqlər, o cümlədən təsvirin təsnifatı, seqmentasiyası və rekonstruksiyası üçün ürək görüntüləməsində geniş istifadə edilmişdir. SNŞ-ləri ürək təsvirlərinin böyük verilənlər toplusunda nümunələri tanımağı öyrənə bilən, təsvirlərin daha dəqiq və səmərəli təhlilinə imkan verən maşın öyrənmə alqoritminin bir növüdür. Süni neyron şəbəkələri ürək təsvirinin seqmentasiyasının dəqiqliyini və səmərəliliyini artırmaqda böyük vədlər göstərmişdir. SNŞ-ləri təkamül etməyə davam etdikcə, onların kardiyak görüntüləmə sahəsinə əhəmiyyətli təsir göstərəcəyi gözlənilir.
Ürək şəkillərinin seqmentasiyası ürək-damar xəstəliklərinin təhlilində mühüm addımdır. Bu, miokard, mədəciklər və atriya kimi təsvir daxilində xüsusi strukturların və ya maraq bölgələrinin müəyyən edilməsini və təsvirini əhatə edir. Ürək təsvirinin seqmentasiyasının vacib olmasının bəzi səbəbləri bunlardır:
•	Dəqiq diaqnoz: Dəqiq seqmentasiya ürəkdəki anormallıqların və ya xəstəliklərin yerini və dərəcəsini müəyyən etməyə kömək edə bilər ki, bu da daha dəqiq diaqnoz və müalicənin planlaşdırılmasına imkan verir.
•	Fərdiləşdirilmiş tibb: Seqmentasiya xəstənin anatomiyası və fiziologiyası haqqında ətraflı məlumat verə bilər ki, bu da müalicə planlarını uyğunlaşdırmağa və nəticələri yaxşılaşdırmağa kömək edə bilər.
•	Xəstəliklərin monitorinqi: Seqmentasiya xəstəliklərin gedişatını və zamanla müalicələrin təsirlərini izləmək üçün istifadə edilə bilər ki, bu da müalicə planına vaxtında düzəlişlər etməyə imkan verir.
•	Şəkil ilə idarə olunan müdaxilələr: Seqmentasiya xəstənin anatomiyası haqqında ətraflı məlumat verməklə, ürək kateterizasiyası kimi müdaxilə prosedurlarının planlaşdırılmasına və rəhbərliyinə kömək edə bilər.
•	Tədqiqat: Seqmentasiya ürək-damar xəstəliklərinin mexanizmlərini anlamaq və yeni müalicə üsullarını inkişaf etdirmək üçün tədqiqat işlərində istifadə edilə bilən müxtəlif ürək parametrlərinin kəmiyyət ölçülərini təmin edə bilər.
Ümumiyyətlə, ürək təsvirlərinin dəqiq seqmentasiyası ürək-damar xəstəliklərinin diaqnostikası, müalicəsi və monitorinqi, eləcə də tədqiqat məqsədləri üçün çox vacibdir. Süni neyron şəbəkələrinin istifadəsi də daxil olmaqla, seqmentləşdirmə üsullarında irəliləyişlər ürək təsvirinin seqmentasiyasının dəqiqliyini və səmərəliliyini xeyli yaxşılaşdıraraq, xəstələrin daha yaxşı nəticələrinə və fərdi qayğıya səbəb olub.
Açar sözlər: Süni neyron şəbəkələri, Təsvirin seqmentasiyası, Görüntü keyfiyyəti, Şəbəkə arxitekturaları.
POTENSI PENGENDALIAN HAYATI HAMA SPODOPTERA FRUGIPERDA UNTUK KEBERLANJUTAN PRODUKSI JAGUNG
Authors: Pu'u Yustina M.S.W , Syatrawati Syatrawati 
Published: June 2023

The armyworm Spodoptera frugiperda, which damages corn plants, is one of the invasive pests. The armyworm S. frugiperda damages corn plants by eating leaf tissue from one side so that the remaining epidermal tissue then makes holes in the leaves and eats from the edge of the leaf to the inside, which causes perforation in the leaves. Control efforts using insecticides have not been practical due to the feeding behaviour of the second and third instar larvae that settle on the inside of the leaves under protected conditions. Therefore, it is necessary to carry out other control techniques that can suppress the development of environmentally friendly S. frugiperda by considering economic and ecological aspects, namely biological control.
Biological control optimizes the role of natural enemies as biological control agents in efforts to manage pest populations which are part of the chain in agroecosystems. Utilization of natural enemies, parasitoids, predators, and pathogen, can suppress the development of the S. frugiperda pest in corn, reducing the use of synthetic pesticides. Natural enemies of S. frugiperda include the egg parasitoid Telenomus sp. and Trichogramma sp.; larva parasitoid Glyptapanteles creatonoti (Viereck), solitary larval parasitoid Campoletis chlorideae Uchida, and parasitoid larvae of the order Hymenoptera: Ichneumonidae: Ichneumoninae and G. creatonoti. as well as an entomopathogenic species, Nomuraea rileyi (Farl.) Samson. Natural enemies can control S. frugiperda pests to save sustainable maize yields based on the basic principles of sustainable agriculture models. Agroecological steps are taken to reduce the population of S. frugiperda in corn plants by:/ (1) sustainable management of soil fertility, primarily actions that maintain or store soil organic carbon; (2) intercropping with properly selected companion plants; and (3) diversification of the agricultural environment through the management of (semi) natural habitats at various spatial scales.
Keanekaragaman Tumbuhan Bawah Pada Tegakan Eucalyptus Pellita Di Fakultas Kehutanan Unilak Riau
Authors: Prastyaningsih Sri Rahayu , Juliarti Anna , Suhesti Eni , Syatrawati Syatrawati 
Published: June 2023

This study aims to determine the understory in Eucalyptus pellita's stands. Understory are one of the elements of the ecosystem which are hold rainwater into the soil, prevent erosion, runoff and soil organic matter. The method used 20 x 20 m of 5 plots with 10 the number of sub-plots in the sample size of 2 x 2 m (50 sub-plots). All of understory were identified. There are 18 species from 17 families classified into 4 groups of the understory (grasses, sedges, ferns and broad-leaved plants). The results showed 18 types of understory which classified in 13 species of broadleaf plants, 3 species of grasses, 1 species of sedges and 1 species of ferns. The understory was dominated by Alang-Alang (Imperata cylindrica) with INP 61.33%, followed by Teki Grass (Cyperus sp) with INP 35.67% then Acacia (Acacia sp) with INP 21.67% and ferns (Neprolepsis sp) INP 17.8%. The Diversity of understory in Eucalyptus pellita was 1.76 in the medium category.
PENGARUH TAX RETENTION RATE (TRR), BOOK TAX DIFFERENCES (BTD) DAN EFFECTIVE TAX RATE (ETR) TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2015-2019
Authors: Sudaryo Yoyo , Purnamasari Dyah , Sofiati Nunung Ayu , Kusumawardani Astrin , Sajekti Tjipto 
Published: June 2023

ABSTRACT; One of the measurement of company performance is financial performance. Financial performance is a formal effort that has been made by a company that can measure the company's success in generating profits. Profit is the simplest measure to assess a company's financial performance. Financial performance will also provide an overview of the efficiency of the use of funds regarding the results of obtaining profits, which can be seen after comparing net income after tax. Taxes are costs that must be incurred by the company. Therefore, companies through management always strive to minimize taxes and this effort is often referred to as tax planning. This study aims to examine the effect of tax retention rate (TRR), book tax differences (BTD) and effective tax rate (ETR) on financial performance by using a proxy measure of Net Profit Margin (NPM).
The method used in this research is descriptive verification with a quantitative approach. The data used is secondary data, data collection is done through documentation and literature research on property and real estate companies listed on the Indonesia Stock Exchange in 2012-2016 with a population of 46 companies. The number of samples in this study were 18 companies which were determined using purposive sampling. Data analysis to answer the problem formulation used: descriptive analysis, inferential statistics, classical assumption test, multiple linear regression test, correlation coefficient test, determination coefficient test, and hypothesis testing using partial test (t test) and simultaneous test (f test). Data processing using the SPSS application.
Based on the results of the research on the t test, it was found that TRR had a positive effect on financial performance where the tcount value of 2.773 was greater than the t table of 1.987. BTD has a positive effect on financial performance where the tcount value of 3.784 is greater than the t table of 1.987.ETR has a positive effect on financial performance where the tcount of 2.627 is greater than the t table of 1.987. Based on the results of the research on the f test, it was found that TRR, BTD, ETR had a significant effect on financial performance where Fcount was greater than 6.770 was greater than F table 3.10.
Keywords: Tax Retention Rate, Book Tax Differences, Effective Tax Rate, Financial Performance