bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Experiential Marketing Terhadap Citra Politeknik LP3I
Authors: Dhany Isnaeni Dharmawan 1  , Heddy Setiawan 2
Published: June 2023

Penelitian ini ditujukan untuk mengetahui adanya bukti –bukti empiris mengenai fenomena di lingkungan kampus POLITEKNIK LP3I, khususnya terkait dengan serangkaian program penanaman citra institusi melalui pengalaman yang dirasakan oleh mahasiswa POLITEKNIK LP3I. Deskriptif dan verifikatif digunakan sebagai metode penelitian. survei dilakukan terhadap 200 mahasiswa sebagai reponden yang dihitung dengan rumus slovin, dari populasi sebanyak 396 orang mahasiswa terdaftar di POLITEKNIK LP3I pada tahun 2017. Teknik sampling menggunakan stratified proportional random sampling. Hasil pengumpulan data, dianalisis mengunakan metode analisis jalur (path analysis). Hasil penelitian ini, merupakan bukti adanya pelaksanaan program program POLITEKNIK LP3I untuk memberikan pengalaman yang baik bagi pera mahasiswanya dan juga sebagai bukti adanya kesan yang baik dibenak mahasiswa mengenai POLITEKNIK LP3I. Peneitain ini membuktikan adanya pengaruh experiential marketing terhadap citra Polteknik LP3I.
Pengaruh Motivasi dan Komunikasi Terhadap Kepuasaan Kerja Serta Implikasinya Terhadap Kinerja Dosen Sekolah Tinggi Pariwisata Bandung
Authors: Sutardi Heri
Published: June 2023

This study intends to reveal how the performance of Bandung Tourism College lecturers (STPB) and the extent to which work motivation factors and the level of job satisfaction of lecturers and communication affect the performance of Bandung Tourism High School (STPB), while other factors that can affect the performance lecturers besides these three factors are ignored, the results are expected to contribute to the development of Human Resource management, especially management.

This research uses descriptive analysis method, because this research besides wanting to get a picture of Work Motivation, Job Satisfaction, Communication and Performance of Bandung Tourism College Lecturers (STPB), also wants to get a picture of the pattern of relationships and the influence of determined research variables.
Penanganan Pencatatan Surat Pada Lembar Disposisi pada bagian Biro Umum Sekretariat Provinsi Jawa Barat
Authors: Parlina Lina
Published: June 2023

Penelitian ini bertujuan untuk mengetahui pencatatan surat pada lembar disposisi di bagian Biro Umum Sekretariat Daerah Provinsi Jawa Barat, melalui kegiatan yang meliputi: penerimaan surat masuk, pencatatan surat masuk pada lembar disposisi, menyerahkan lembar disposisi kepada pimpinan untuk diberikan instruksi, menginput lembar disposisi ke sistem dan mendistribusikan lembar disposisi sesuai dengan bagian-bagiannya untuk ditindak lanjuti.

Metode penelitian yang digunakan adalah metode deskriptif yaitu penulis menggambarkan hasil observasi dan menganalisa data-data yang diperoleh dari hasil wawancara. Setelah melakukan analisis dan pembahasan masalah, penulis memperoleh kesimpulan bahwa Pencatatan surat pada lembar disposisi di bagian Biro Umum Sekretariat Daerah Provinsi Jawa Barat belum sesuai dengan ketentuan dan aturan yang ada, terlihat dari alur kegiatan pencatatan yang masih kurang terstruktur dengan baik
Pengaruh Lingkungan Kerja dan Disiplin Kerja Terhadap Kinerja Pegawai di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Pandeglang
Authors: Arief Rahman
Published: June 2023

Penelitian ini dilakukan pada kantor Dinas Kependudukan dan Pencatatan Sipil kabupaten Pandeglang, merupakan salah satu instansi pemerintah kabupaten pandeglang yang melaksanakan urusan pemerintahan daerah dibidang kependudukan dan catatan sipil berdasarkan asas otonomi dan tugas pembantuan. Penelitian ini bertujuan untuk mengetahui apakah ada pengaruh yang signifikan dari lingkungan kerja dan disiplin kerja terhadap kinerja pegawai di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Pandeglang. Populasi dalam penelitian ini adalah seluruh pegawai negeri sipil Dinas Kependudukan dan Pencatatan Sipil Kabupaten Pandeglang yang berjumlah 35 orang. Teknik pengumpulan data dalam penelitian ini menggunakan sampling jenuh, dimana semua anggota populasi digunakan sebagai sampel. Teknik pengumpulan data dalam penelitian ini adalah kuesioner dan data primer. Metode analisis data yang digunakan adalah uji validitas, uji reliabilitias, uji asumsi klasik, uji hipotesis, uji koefisien determinasi, dan analisis regresi linier berganda dengan bantuan SPSS 21. Hasil uji dari penelitian ini secara parsial menunjukkan bahwa, lingkungan kerja berpengaruh signifikan terhadap kinerja pegawai sebesar (0,000 < 0,05), dan disiplin kerja berpengaruh signifikan terhadap kinerja pegawai sebesar (0,012 < 0,05). Sedangakan hasil uji penelitian secara simultan menunjukkan lingkungan kerja dan disiplin kerja berpengaruh terhadap kinerja pegawai yang ditunjukkan dengan signifikansi F sebesar 0,000 < a (0,05) dan Fhitung 22,969 > F tabel 3,28 . Dan R Square sebesar 58,9% sisanya dijelaskan oleh variabel lain yang tidak digunakan dalam penelitian ini.
Pengaruh Store Athmosphere terhadap Minat Beli Konsumen pada Toko Labaik Chicken di Pondok Cilegon Indah Kota Cilegon
Authors: Rudi Kurniawan
Published: June 2023

Store atmosphere merupakan suasana toko yang sangat berpengaruh bagi sebuah toko untuk membuat komsumen merasa betah dan nyaman untuk memilih jenis produk yang akan dibelinya. Suasana toko dapat digambarkan sebagai perubahan terhadap perencanaan lingkungan pembelian yang menghasilkan efek emosional khusus, yang dapat menyebabkan konsumen melakukan tindakan pembelian. Tujuan penelitian ini adalah untuk mengetahui bagaimana gambaran store atmosphere serta pengaruhnya terhadap Minat Beli Konsumen di Toko Labaik Chicken. Identifikasi masalah diketahui masih belum optimalnya tampilan toko baik secara eksterior maupun interior maupun pengaturan layout ruangan yang masih monoton. Permasalahan juga terjadi pada Kurangnya jumlah pengunjung toko dan menurunnya minat beli dalam satu tahun terakhir menjadi permasalahan.

Penelitian ini menggunakan materi Berman dan Evan (2014:545), indikator yang digunakan store atmosphere adalah : Exterior (bagian luar toko), General Interior, Layout Ruangan (Tata Letak), Interior Point of Interest Display (Dekorasi Pemikat Dalam Toko). Adapun indikator yang digunakan untuk mengukur minat beli, diantaranya: minat transaksional, minat referensial, minat preferensial dan minat eksploratif (Ferdinand, 2014: 188). Metode yang digunakan dalam penelitian ini adalah metode survey dengan pendekatan kuantitatif. Adapun Pengaruh store athmosphere terhadap minat beli konsumen pada toko Labaik Chicken PCI dari perhitungan koefisien korelasi  Product Moment sebesar 0,63. Oleh Karena itu terdapat pengaruh antara variabel store athmosphere terhadap minat beli konsumen di toko Labaik Chicken PCI, termasuk kedalam kategori kuat, karena ada pada skala interval 0,60 – 0,799 dan bersifat positif atau hubungan nya searah. Adapun nilai dari perhitungan Koefisien Determinasi yaitu sebesar 40% yang artinya store athmosphere mempunyai pengaruh sebesar 40%, dan 60% lainnya faktor – faktor yang mempengaruhi yang tidak diteliti oleh peneliti. Uji hipotesis menghasilkan nilai , thitung =  7,610  selanjutnya dibandingkan dengan ttabel untuk kesalahan 5% uji dua pihak dan db =90 – 2 = 88 , maka diperoleh ttabel = 1,987. Dari hasil perhitungan ternyata thitung > ttabel maka Ho ditolak dan Ha diterima. Dengan demikian, dapat dinyatakan bahwa terdapat pengaruh yang signifikan antara store athmosphere terhadap minat beli konsumen pada toko Labaik Chicken di PCI Kota Cilegon.
Dampak Pandemi Covid-19 terhadap Usaha Mikro, Kecil dan Menengah di Kabupaten Kotabaru Kalimantan Selatan
Authors: Hajati Dayat Ikhsan
Published: June 2023

Penelitian ini bertujuan untuk menemukan dampak pandemi COVID-19 terhadap omzet, profit, permodalan, distribusi produk dan bahan baku UMKM di Kabupaten Kotabaru. Penelitian ini dilaksanakan menggunakan pendekatan penelitian kuantitatif dengan jenis penelitian studi kasus dengan jumlah populasi sebanyak 8.158 UMKM di Kotabaru. Teknik pengambilan sampel dalam penelitian ini menggunakan simple random sampling dengan jumlah sampel sebanyak 385 UMKM yang didapatkan berdasarkan perhitungan rumus Lameshow. Pengumpulan data dalam penelitian ini menggunakan observasi, studi kepustakaan dan kuesioner. Teknik analisis data yang digunakan dalam penelitian ini menggunakan analisis statistik deskriptif dan analisis statistik inferensial dengan Wilcoxon Signed Rank Test. Hasil penelitian yang dilakukan menunjukkan bahwa 1) terdapat perbedaan signifikan omzet dan profit yang diperoleh UMKM dalam bentuk rata-rata penurunan omzet dan profit antara sebelum dan saat terjadi Pandemi COVID-19 di Kabupaten Kotabaru, 2) UMKM cukup mengalami kesulitan dalam perputaran permodalan, rantai pasok bahan baku dan distribusi produk selama Pandemi COVID-19 di Kabupaten Kotabaru.
Relevansi Pelatihan Achievement Motivation Training (AMT) Guna Meningkatkan Motivasi Terhadap Kinerja Karyawan
Authors: Andi Tarlis  , Dedi Iskandar  , Selvi May Hetti
Published: June 2023

Peningkatan kinerja karyawan tentunya bisa ditingkatkan melalui berbagai program pelatihan dan pengembangan sumber daya manusia . Dimana salah satunya yang paling mendasar adalah melalui program pelatihan achievement motivation training (AMT) bagi seluruh karyawan di tingkat bawah (lower) hingga menengah (middle). Dengan melalui program AMT tersebut akan sangat dapat meningkatkan  motivasi karyawan terhadap rutinitas kerja yang sehari-hari mereka lakukan. Selain itu yang menjadi dasar diperlukannya Pelatihan AMT tersebut karena Pelatihan AMT tersebut merupakan suatu program pelatihan yang dapat meningkatkan motivasi dan kinerja karyawan dalam rangka membuka rasa memiliki (sens of belonging) tentang apa yang mereka miliki di dalam potensi diri mereka masing-masing untuk kemajuan diri mereka maupun perusahaan. Selain itu dari hari hasil analisis yang dilakukan di lapangan serta sebagaimana yang dikemukakan di atas, bahw kegiatan pelatihan Achievement Motivation Training (AMT) guna meningkatkan motivasi terhadap kinerja karyawan dinilai sangat relevan dan sesuai dengan apa yang diharapkan oleh semua perusahaan atau institusi dalam rangka meningkatkan kinerja karyawan sesuai dengan visi dan misi yang sudah ditetapkan oleh perusahaan atau institusi.
Perpindahan Promosi dari Offline ke Online Penjualan Produk Olahan Hui Cilembu Pada Usaha UMKM Kirihuci Selama Masa Pandemi Covid 19
Authors: Dewi Reniawaty  , Irwan Hermawan
Published: June 2023

Dengan adanya transformasi tren belanja dari offline ke online  membuat para pemilik usaha harus saling berbenah diri untuk mengatasi perubahan pola konsumsi pelanggan yang semakin cepat berubah. Sebagai seorang pelaku bisnis tentunya harus mengetahui kebutuhan apa saja yang diperlukan oleh para pelanggannya dengan memberikan inovasi-inovasi terbaru terhadap bisnisnya. Seperti yang dilakukan oleh UMKM Kirihuci saat sebelum Pandemi Covid, penjualan lebih banyak Offline sekarang harus gesit dalam pemasaran secara Online. Produk yang dijual oleh UMKM Kirihuci yaitu makanan ringan yang di olah dari Ubi Cilembu awalnya kemudian berkembang menggunakan bahan yang terbuat dari Talas, Ubi Kuningan, Susu Lembang dan Singkong. Namun kendala yang dihadapi yaitu Transformasi dari Offline ke Online di karenakan konsumen perlu untuk mencicipi terlebih dahulu rasa dari produk, baru konsumen akan memutuskan untuk melakukan pembelian. Nah apabila penjualan melalui Online konsumen tidak akan mengetahui bagaimana rasa nya karena tidak testfood, hanya melihat dari testimoni dari konsumen sebelumnya. Penulis menggunakan Metode penelitian kuantitatif.. Proses pengukuran adalah bagian yang sentral dalam penelitian kuantitatif karena hal ini memberikan hubungan yang fundamental antara pengamatan empiris dan ekspresi matematis dari hubungan-hubungan kuantitatif. Teknik pengumpulan data dengan cara wawancara terstruktur menggunakan kuesioner..Hasil yang didapat jumlah penjualan meningkat karena masyarakat sekarang sudah familiar dengan media online.
Review Penelitian Bisnis dan Metaverse menggunakan Teknik Bibliometrik
Authors: Puji Pramesti  , Andina Dwijayanti  , Rita Komalasari  , Zen Munawar  , Budi Harto
Published: June 2023

Covid-19 menghambat laju pergerakan bisnis di seluruh dunia, untuk dapat mempertahankan bisnisnya perusahaan harus beradaptasi terhadap teknologi terkini, yaitu metaverse. Data dalam penelitian ini diperoleh dari database Scopus pada tahun 2008-2022. Penelitian ini menggunakan metode bibliometrik analisis menggunakan VOSviewer yang merupakan metode untuk mengeksplorasi dan menganalisis data ilmiah dan memungkinkan peneliti untuk menggambarkan fenomena dan karakteristiknya. Temuan mengungkapkan bahwa publikasi di sekitar area ini masih sangat minim sehingga memungkinkan untuk peneliti selanjutnya membuat penelitian perihal manfaat metaverse untuk meningkatkan kinerja bisnis perusahaan.
Pengaruh Disiplin Kerja dan Kompetensi Terhadap Kinerja Pegawai pada Koperasi Sejahtera Bersama
Authors: Lilis Suharti
Published: June 2023

Penelitian ini bertujuan untuk mengetahui: pengaruh disiplin kerja dan kompetensi secara simultan terhadap kinerja pegawai pada Koperasi Sejahtera Bersama Majalengka, Populasi dari penelitian ini adalah seluruh karyawan Koperasi Sejahtera Bersama Majalengka yang berjumlah 32 orang. Teknik analisis data yang digunakan adalah regresi berganda. Hasil penelitian menunjukkan bahwa secara parsial terdapat pengaruh positif dan signifikan disiplin kerja terhadap kinerja pegawai pada Koperasi Sejahtera Bersama Majalengka Terdapat pengaruh positif dan signifikan kompetensi terhadap kinerja pegawai pada Koperasi Sejahtera Bersama Majalengka Secara simultan terdapat pengaruh kompetensi dan disiplin kerja secara simultan terhadap kinerja pegawai pada Koperasi Sejahtera Bersama Majalengka (variabel kompetensi
Manfaat Quick Response Code Indonesian Standard (QRIS) pada Nasabah di Bank Jabar Banten (BJB)
Authors: Andina Dwijayant  , Salma Anhalsali  , Elia Daryati Rahayu  , Zen Munawar  , Rita Komalasari  , Puji Pramesti  , Poniah Juliawati
Published: June 2023

Quick Response Code Indonesian Standard (Qris) merupakan standarisasi Quick Response Code (Qr Code) sebagai teknologi untuk metode pembayaran yang ditetapkan oleh Bank Indonesia sejak Januari 2020. Standarisasi ini dibentuk untuk memberikan metode pembayaran atau transaksi nontunai yang lebih mudah dan efisien. Penelitian ini bertujuan untuk meneliti penggunaan Qris pada nasabah Bank BJB KCP IPDN terhadap pemanfaatan Quick Response Code Indonesian Standard sebagai teknologi untuk metode pembayaran nontunai. Objek penelitian ini langsung dari pihak Bank BJB KCP IPDN yang merupakan pengguna Qris baik itu merchant maupun pengguna. Metode yang digunakan yaitu metode penelitian deskriptif. Metode pengumpulan data dalam penelitian ini adalah wawancara dan observasi berdasarkan dari hasil penelitian terdapat berapa hal yang perlu ditingkatkan dalam penggunaan Qris dan manfaatnya di Bank BJB KCP IPDN. Penulis menarik kesimpulan bahwa penggunaan Qris yang memiliki manfaat telah berjalan dengan cukup baik.
IDENTIFYING HOW INCREASED ECONOMIC GROWTH MAY BE ATTRIBUTED TO SUSTAINABLE DEVELOPMENT
Authors: Seržantė Milena , Mitrofan Anastasija
Published: June 2023

The United Nations has issued an urgent call to action to promote collaboration with programs that support sustainable development. This is one of the methods to drive economic growth, and the United Nations’ call to action supports such cooperation. However, no established method exists for measuring individual sustainable initiatives’ impact on the overall economic growth rate. This study aims to evaluate and investigate sustainable decisions’ impact on the company’s economic performance in General. In the context of this research, the phrase “sustainable decisions” refers to any choices made by Entrepreneurs that contribute to the overall development of an organisation on several fronts, including the social, environmental, and economic fronts. The results of this study can be exploited as a method for capturing society’s attention to raise social awareness of the need to invest in sustainable options. Furthermore, they will assist in the design and execution of future research efforts and the development of environmentally friendly technologies with regard to economic development.
CHALLENGES FOR AGRICULTURE INDUSTRY COMPANIES IN INDIA TO CREATE A SUSTAINABLE BUSINESS MODEL
Authors: Gupta Amit , Sceulovs Deniss , Ojasoo Merle
Published: June 2023

This article explores sustainable business models in Indian agriculture, assessing sustainability levels through interviews and case studies. Findings show that companies primarily focus on profit creation, with low social and ecological sustainability. However, integrating sustainability elements leads to higher profitability and productivity. The study concludes that while Indian agriculture companies have not prioritized social and environmental aspects, they are increasingly adopting sustainability due to pressure from stakeholders, consumers, and the government.
URBAN–RURAL DIFFERENCES IN PRIMARY SCHOOL RESOURCES IN CHINA: A CASE STUDY OF YUNCHENG COUNTY
Authors: Sun Wenwen , Hu Xin , Kidd Akari Nakai , Li Zhuoran , Liu Chunlu
Published: June 2023

Resources in primary schools can be classified into three types: campus, teaching, and community resources. Urban–rural differences in the resources of Chinese county schools, which are triggered by population migration and residents’ preference for high-quality schools, are a common phenomenon emerging in the context of rapid urbanization. Despite the negative effects of these resource differences on social sustainability and the increasing need to comprehensively analyze urban–rural differences in school resources, to date there has not been an effective analytical framework for resolving these issues. To address this research gap, this study develops a method using the entropy-based Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), spatial analysis, and statistical analysis for assessing resource equity in primary schools by means of the relative proximities of resources. The resource differences between urban and rural primary schools are quantitatively investigated through taking Yuncheng County as a case study. The urban–rural differences in the three types of resources are discovered and presented according to geographical location. The research findings make contributions to understanding the unbalanced distribution of school resources, promoting equity in education, and improving the social sustainability of counties. Additionally, the analytical framework has the potential to be extended to analyzing urban–rural resource differences in secondary or high schools.
HIP 33609 b: An Eccentric Brown Dwarf Transiting a V = 7.3 Rapidly Rotating B Star
Authors: Vowell Noah , Rodriguez Joseph E. , Quinn Samuel N. , Zhou George , Vanderburg Andrew , Mann Andrew W. , Hooton Matthew J. , Stassun Keivan G. , Howard Saburo , Bieryla Allyson , Latham David W. , Howell Steve B. , Guillot Tristan , Ziegler Carl , Collins Karen A. , Carmichael Theron W. , Jenkins Jon M. , Shporer Avi , ABE Lyu , Bendjoya Philippe , Bush Jonathan L. , Buttu Marco , Collins Kevin I. , Eastman Jason D. , Fields Matthew J. , Gasparetto Thomas , Günther Maximilian N. , Kostov Veselin B. , Kraus Adam L. , Lester Kathryn V. , Levine Alan M. , Littlefield Colin , Marie-Sainte Wenceslas , Mékarnia Djamel , Osborn Hugh P. , Rapetti David , Ricker George R. , Seager S. , Sefako Ramotholo , Srdoc Gregor , Suarez Olga , Torres Guillermo , Triaud Amaury H. M. J. , Vanderspek R. , Winn Joshua N.
Published: June 2023

We present the discovery and characterization of HIP 33609 b, a transiting warm brown dwarf orbiting a late B star, discovered by NASA's Transiting Exoplanet Survey Satellite as TOI-588 b. HIP 33609 b is a large (R
b =

1.580

−
0.070

+
0.074

R
J) brown dwarf on a highly eccentric (e =

0.560

−
0.031

+
0.029

) orbit with a 39 days period. The host star is a bright (V = 7.3 mag), T
eff = 10,400

−
660

+
800

K star with a mass of M
* =

2.383

−
0.095

+
0.10

M
⊙ and radius of R
* =

1.863

−
0.082

+
0.087

R
⊙, making it the hottest transiting brown dwarf host star discovered to date. We obtained radial velocity measurements from the CHIRON spectrograph confirming the companion's mass of M
b =

68.0

−
7.1

+
7.4

M
J as well as the host star's rotation rate (

v
sin

i

*

=
55.6
±
1.8

km s−1). We also present the discovery of a new comoving group of stars, designated as MELANGE-6, and determine that HIP 33609 is a member. We use a combination of rotation periods and isochrone models fit to the cluster members to estimate an age of 150 ± 25 Myr. With a measured mass, radius, and age, HIP 33609 b becomes a benchmark for substellar evolutionary models.
Stellar Cycles in Fully Convective Stars and a New Interpretation of Dynamo Evolution
Authors: Irving Zackery A. , Saar Steven H. , Wargelin Bradford J. , do Nascimento José-Dias
Published: June 2023

An αΩ dynamo, combining shear and cyclonic convection in the tachocline, is believed to generate the solar cycle. However, this model cannot explain cycles in fast rotators (with minimal shear) or in fully convective stars (no tachocline); an analysis of these stars could therefore provide key insights into how these cycles work. We reexamine ASAS data for 15 M dwarfs, 11 of which are presumed fully convective; the addition of newer ASAS-SN data confirms cycles in roughly 12 of them, while presenting new or revised rotation periods for 5 stars. The amplitudes and periods of these cycles follow

A

cyc

∝

P

cyc

0.94
±
0.11

, with P
cyc/P
rot ∝ Ro
−1.02±0.06 (where Ro is the Rossby number), very similar to P
cyc/P
rot ∝ Ro
−0.81±0.17 that we find for 40 previously studied FGK stars, although P
cyc/P
rot and α are a factor of ∼20 smaller in the M stars. The very different P
cyc/P
rot–Ro relation seen here compared to previous work suggests that two types of dynamo, with opposite Ro dependences, operate in cool stars. Initially, a (likely α
2 or α
2Ω) dynamo operates throughout the convective zone in mid- to late-M and fast-rotating FGK stars, but once magnetic breaking decouples the core and convective envelope, a tachocline αΩ dynamo begins and eventually dominates in older FGK stars. A change in α in the tachocline dynamo generates the fundamentally different P
cyc/P
rot–Ro relation.
Data-driven Radiative Magnetohydrodynamics Simulations with the MURaM Code
Authors: Chen Feng , Cheung Mark C. M. , Rempel Matthias , Chintzoglou Georgios
Published: June 2023

We present a method of conducting data-driven simulations of solar active regions and flux emergence with the MURaM radiative magnetohydrodynamics (MHD) code. The horizontal electric field that is derived from the full velocity and magnetic vectors is implemented at the photospheric (bottom) boundary to drive the induction equation. The energy equation accounts for thermal conduction along magnetic fields, optically thin radiative loss, and heating of coronal plasma by viscous and resistive dissipation, which allows for a realistic presentation of the thermodynamic properties of coronal plasma that are key to predicting the observational features of solar active regions and eruptions. To validate this method, the photospheric data from a comprehensive radiative MHD simulation of solar eruption (the ground truth) are used to drive a series of numerical experiments. The data-driven simulation reproduces the accumulation of free magnetic energy over the course of flux emergence in the ground truth with an error of 3%. The onset time is approximately 8 minutes delayed compared to the ground truth. However, a precursor-like signature can be identified at the correct onset time. The data-driven simulation captures key eruption-related emission features and plasma dynamics of the ground truth flare over a wide temperature span, from

log

10

T
=
4.5

to

log

10

T
>
8

. The evolution of the flare and coronal mass ejection as seen in synthetic extreme ultraviolet images is also reproduced with high fidelity. This method helps to understand the evolution of magnetic field in a more realistic coronal environment and to link the magnetic structures to observable diagnostics.
The Enemy Release Hypothesis
Authors: Heger Tina , Jeschke Jonathan , Bernard-Verdier Maud , Musseau Camille , Mietchen Daniel
Published: June 2023

The enemy release hypothesis is a major and well-known hypothesis in invasion biology. Building on a summary of different previous definitions, we provide the following revised definition: “A reduced pressure by enemies in the non-native range positively affects invasion success.” Further, we suggest formalizing the hypothesis in the basic form ‘subject - relationship - object’ to allow for disambiguating the different existing meanings and enhancing their usability by machines.
Preoperative Depression Is Associated With Increased Short-term Complications But Equivalent Long-term Outcomes in Total Knee Arthroplasty
Authors: Byrne Connor T. , Durst Caleb R. , Rezzadeh Kevin T. , Rockov Zachary A. , Lee Anderson , McKelvey Karma S. , Spitzer Andrew I. , Rajaee Sean S.
Published: June 2023

Concomitant depression negatively impacts outcomes following total knee arthroplasty (TKA). Patient-Reported Outcomes Measurement Information System (PROMIS) surveys are validated measures that quantify depression, pain, and physical function. We hypothesized that higher preoperative PROMIS-depression scores would be associated with inferior outcomes following TKA. A total of 258 patients underwent primary TKA at a tertiary academic center between June 2018 and August 2020. PROMIS scores were collected preoperatively and at 6 weeks, 3 months, 1 year, and 2 years postoperatively. Patients with preoperative PROMIS depression scores of 55 or greater were considered PROMIS depressed (PD) and patients with scores less than 55 were considered not PROMIS depressed (ND). The primary outcomes were changes in PROMIS scores. Secondary outcomes included total and daily mean morphine milligram equivalents (MME) received during admission as well as 90-day hospital readmission and 2-year all-cause revision rates. There were 66 (25.58%) patients in the PD group and 192 (74.42%) in the ND group. Patients in the PD group had improved depression scores at all follow-up intervals (
P
<.001) and decreased pain scores at 1 year (
P
=.016). Both groups experienced similar changes in function scores at each follow-up interval. Patients in the PD group had higher total (
P
=.176) and daily (
P
=.433) mean MME use while admitted. Ninety-day hospital readmissions were higher in the PD group (
P
=.002). There were no differences in 2-year revision rates (
P
=.648). Preoperative PROMIS-depression scores of 55 or greater do not negatively impact postoperative function, depression, or pain, and patients with these scores have greater improvement in depression and pain at certain intervals. Patients in the PD group had higher readmission rates. [
Orthopedics
. 2024;47(1):40–45.]
On some generalized $ q $-difference sequence spaces
Authors: Ellidokuzoğlu Hacer Bilgin , Demiriz Serkan
Published: June 2023

In this study, we construct the spaces of $ q $-difference sequences of order $ m $. We obtain some inclusion relations, topological properties, Schauder basis and alpha, beta and gamma duals of the newly defined spaces. We characterize certain matrix classes from the newly defined spaces to any one of the spaces $ c_0, c, \ell_\infty $ and $ \ell_p $.
Saddlepoint p-values for a class of nonparametric tests for the current status and panel count data under generalized permuted block design
Authors: Abd El-Raheem Abd El-Raheem M. , Hosny Mona
Published: June 2023

Current status and panel count data appear in many applied fields, including medicine, clinical trials, epidemiology, econometrics, demography, engineering and public health. Therefore, in this article, we use the saddlepoint approximation method to approximate the exact p-value of a number of nonparametric tests for the current status and panel count data under a generalized permuted block design. The saddlepoint approximation is referred to as higher-order approximation and it is more accurate than the methods that lead to approximations that are accurate to the first order, such as the asymptotic normal approximation method. To verify the accuracy and efficiency of the saddlepoint approximation method, a simulation study is conducted. The simulation study results confirm that the saddlepoint approximation method is more powerful than the existing approximation method. Furthermore, number of real current status and panel count data sets are analyzed and displayed as illustrative examples.
Distributed adaptive control for nonlinear multi-agent systems with nonlinear parametric uncertainties
Authors: Wang Meiqiao , Li Wuquan
Published: June 2023

This paper considers the distributed tracking control problem for a class of nonlinear multi-agent systems with nonlinearly parameterized control coefficients and inherent nonlinearities. The essential of multi-agent systems makes it difficult to directly generalize the existing works for single nonlinearly parameterized systems with uncontrollable unstable linearization to the case in this paper. To dominate the inherent nonlinearities and nonlinear parametric uncertainties, a powerful distributed adaptive tracking control is presented by combing the algebra graph theory with the distributed backstepping method, which guarantees that all the closed-loop system signals are global bounded while the range of the tracking error between the follower's output and the leader's output can be tuned arbitrarily small. Finally, a numerical example is provided to verify the validity of the developed methods.
Reliability Analysis of RC Code for Predicting Load-Carrying Capacity of RCC Walls Through ANN
Authors: Ahmad Afaq , Cotsovos Demitrios M.
Published: June 2023

Over the past couple of decades, a significant rise in utilization of artificial neural network (ANN) in the field of civil engineering has been observed. ANNs have been proven to be very helpful for researchers working in concrete technology. Reinforced cement concrete (RCC) shear walls play an important role in the stability of high-rise reinforced concrete structures. Current study is focused on using ANN-based design technique as an alternative to conventional design codes and physical models to estimate the ultimate load carrying capacity of RCC shear walls. In this study, database of 95 RCC wall samples has been collected from previously published literature. Various critical parameters considered for current research are; length of web portion of the wall (Lw), thickness of wall boundary member (bw), effective depth of wall (d), height of wall (H), shear span ratio (av/d), vertical steel ratio (ρv), horizontal steel ratio (ρh), yield strength of vertical and horizontal steel (fy), compressive strength of concrete (fc), and the ultimate load carrying capacity (Vexp).
Enhanced Stochastic Paint Optimizer for Nonlinear Design of Fuzzy Logic Controllers in Steel Building Structures for the Near-Fault Earthquakes
Authors: Azizi Mahdi , Talatahari Siamak
Published: June 2023

Near-fault ground motion effects have been of great importance in recent decades due to the importance of these ground motions in vibration serviceability of structural systems. Fuzzy logic controller as one of the well-known control systems which is formulated based on the human expertise and knowledge is mostly incapable of providing proper control responses for structures under strong ground motions, and therefore the optimization of these controllers is concerned in recent years. In this chapter, optimal design of fuzzy controllers while considering the nonlinear characteristics of the structure is investigated. To fulfill this, an enhanced stochastic paint optimizer is proposed using the Levy flight. The proposed method is utilized for optimization of membership functions and rule base of fuzzy controllers implemented in the considered building structure. The overall performance of the proposed enhanced metaheuristic algorithm is compared with other methods. The obtained results demonstrate the capability of the new method in providing very competitive solutions.
Uncertainty Quantification in Advanced Machine Learning Approaches
Authors: Ahamad Shakeel , Rather Ishfaq Hussain , Gupta Ratneshwer
Published: June 2023

Artificial intelligence (AI) systems perform critical tasks in various safety-critical (e.g., medical devices, mission-control systems, and nuclear power plants). Uncertainty in the system may be caused by various reasons. Uncertainty quantification (UQ) approaches are essential for minimising the influence of uncertainties on optimisation and decision-making processes. Estimating the uncertainty is a challenging issue. Various machine-learning approaches are used for uncertainty quantification. This chapter comprehensively views uncertainty quantification approaches in machine learning (ML) techniques. Various factors cause uncertainty, and their possible solutions are presented. The uncertainty analysing approaches of the different machine learning methods, such as regression, classification, and segmentation, are discussed. The uncertainty optimisation process is broadly categorised into backward and forward approaches. The subsequent sections further classify and explain these backward and forward uncertainty approaches.
Optimized Storage and Resource Management in Fog Computing Paradigm
Authors: Buttar Ahmed Mateen , Abbas Mubeen , Majid Muhammad
Published: June 2023

Fog computing reduces network usage and latency. The fog layer connects IoT users to the cloud by executing applications or processing data in network infrastructure devices. Cloud-based IoT can provide communication, computing, and storage. Offloading computer-intensive apps with fog is promising. Fog computing expands IoT roles at the network edge and supports cloud platforms. Clients can send control signals using fog computing and cloud services. Offload latency-sensitive user experiences to broken fog nodes at the network's edge. This makes real-time cloud management of sensors, actuators, and wi-fi routers difficult. Most cloud efforts allocate communication and computational resources. Fog computing emphasizes communication or computation. Fog computing can improve service quality and manage network challenges caused by real-time, latency-sensitive applications and IoT bandwidth and user resource limitations. This chapter examines computing and communication resource allocation. In this chapter, the author also discusses service delay, link quality, and mandatory benefits.
Use of Machine Learning Approaches in 5G Applications
Authors: Bhardwaj Manish , Jain Rekha , Kumar Sumit , Kumari Upma
Published: June 2023

The rapid development of 5G technology has led to a proliferation of smart applications and the need for efficient network interoperability. To address the challenges associated with 5G applications, machine learning approaches have emerged as powerful tools for predicting network characteristics and optimizing resource allocation. This chapter explores the integration of advanced algorithmic techniques and distributed computing resources to enhance the performance of 5G networks. This chapter explores the integration of advanced algorithmic techniques and distributed computing resources to enhance the performance of 5G networks. It provides an overview of the integration of artificial intelligence (AI) with 5G technology, including logistic regression, support vector machines (SVM), artificial neural networks (ANN) such as MLPs, and clustering techniques like K-means clustering, Gaussian mixture model (GMM), and expectation maximization (EM). It also investigates the integration of 5G with existing mobile networks, emphasizing the importance of seamless connectivity and efficient handover mechanisms. Overall, this chapter provides a comprehensive analysis of the use of machine learning approaches in 5G applications. It highlights the potential of these techniques to address the unique challenges posed by 5G networks and enable the realization of their full potential. By leveraging advanced algorithmic techniques and integrating AI, network operators and service providers can optimize network performance, improve user experience, and unlock new opportunities in the era of 5G technology.
Strength Development of Seawater Mixed and Cured Concrete with Various Replacement Ratios of Fly Ash
Authors: Patah Dahlia , Dasar Amry , Apriansyah Apriansyah , Caronge Muhammad Akbar
Published: June 2023

In certain scenario, seawater maybe the only mixing and curing water available. Normally, concrete mixing requires freshwater, a resource which is expected to vastly deplete as a result of global water scarcity. Seawater which covers more than 70 percent of earth surface has potential to replace the freshwater in concrete. Hence, it is necessary to optimize conditions for its application in concrete, because freshwater reserves are either limited or its transport is costly. Further, the effect of various replacement ratios of fly ash needs further studies to determine applicability on concrete with seawater mixing in particular. Thus, this study aims to examine by which seawater can be employed as mixing water for making concrete, especially for plain concrete. The main objective of this study is to investigate the effect of seawater as mixing and fly ash as supplementary binder at 10%, 20% and 30% for Portland Composite Cement replacement on compressive strength, respectively. The water-to-binder ratio was varied at 40%, 50% and 60%. The specimens were cured (continuous immersion) in freshwater and seawater for 91-days. The results indicated that seawater can be used as mixing and curing water. Compressive strength of concrete increase when using seawater as mixing water and freshwater as curing water especially for w/b of 40%. Also, significant strength development up to 91-days was shown by fly ash concrete when using seawater as curing water and freshwater as mixing water . Effectiveness of seawater curing on strength development of fly ash concrete with w/b of 40% is larger in concrete with freshwater mixing than seawater mixing. The results obtained in this study provide an information in development for applicability seawater in concrete.
A Novel Non-Invasive Cryostatic Spectrometry Technique to Characterize the Carriers’ Multiplication Factor in Silicon Carbide Power Devices
Authors: Pocaterra Marco , Ciappa Mauro
Published: June 2023

The design of robust power semiconductor devices and the assessment of their susceptibility to terrestrial cosmic rays induced failures requires the accurate characterization of the device-internal electric field. This work presents a non-invasive cryostatic spectrometry technique making use of a soft-gamma Am241 radioactive source, to sense the device-internal electric field of silicon carbide power devices, through the measurement of the carriers’ multiplication factor. TCAD and Monte Carlo simulations tools are coupled to predict the soft-gamma irradiation spectra and to localize the hotspots for charge multiplication in the device structure. An empirical relationship is derived to convert the carriers’ multiplication factor measured at cryogenic temperature to the multiplication factor at ambient temperature. Finally, by highlighting the correlation between the multiplication factor and the failure rate of power devices exposed to terrestrial cosmic radiation, the technique is proposed as a complimentary method for the on-field assessment of the Safe-Operating Area.
Failure Mode of GFRP Bar RC Beams Using GFRP Sheet as Shear Reinforcement
Authors: Irmawaty Rita , Fakhruddin Fakhruddin , Djamaluddin Rudy , Kusnadi Kusnadi
Published: June 2023

The objectives of this study are to analyze the pattern crack and failure mode of the GFRP concrete beam by using GFRP sheet as shear reinforcement (GFB) compared with the two types of the conventional reinforced concrete beam (CB and GB). One of the conventional reinforced concrete beams is reinforced with the steel bar (CB) and the other is the GFRP bar (GB) as longitudinal reinforcement. The nine beams were cast from one concrete batch with dimensions of 150 mm width, 250 mm depth and 3300 mm length. This study focuses on a simply-supported beam using a roller and pinned supports at the end of the beam. Control beam (CB) that using steel reinforcement shows three phases of deformation based on the deflection load curve, ie before crack, after crack, and after yield, while GB and GFB beams that use GFRP bar reinforcement only show two phases of linear deformation namely the deformation phase before cracking and after cracking. From the crack pattern, CB beams experience the flexural cracks which starting from the mid-span on the tensile side of the constant moment region and propagated to the compression region along with the increase in load. All GB beams show the crack starts from the mid-span and then propagates towards the support. Whereas GFB beam show the flexural cracks that occur in the constant moment region and in the shear span, also diagonal cracks that divide the GFRP sheet occurred. From the failure mode, CB experienced flexural failure, while GB experienced compression failure and shear failure in all GFB beams.
Investigation of Depth Variations of the Bamboo Twigs for its Acoustical Performance
Authors: Kurniawan Aan , Kusno Asniawaty , Mulyadi Rosady
Published: June 2023

This study aims to determine the relationship between variations in the depth of bamboo twigs with the sound absorption coefficient. The sample consisted of 12 bamboo twigs made up of three types of depth variations. Measurement of sound absorption of bamboo twigs using two microphone impedance tubes and B & K Lab shop software version 16. Standardization ISO 10534-2:1998 [1] was used to test parameters between 100 and 1600 Hz. This type of research is a comparative quantitative approach, data processing using Pulse Lab shop version 16 and visualized into a curve graph using Microsoft Excel. The results showed that the bamboo twig material with a depth of 50 mm was better than 25 mm with an absorption coefficient (α) of 0,68 at a frequency of 1600 Hz. While the material with a thickness of 75 mm only absorbs at a frequency of 1100 Hz with a maximum absorption coefficient of 0,57. According to ISO 11654 [2], it shows that bamboo twigs have the potential to be used as sound-absorbing materials. The sound absorption coefficient value of bamboo twigs rises from low to high frequency with increasing twig depth.
A case of retiform purpura secondary to sepsis, successfully managed with a combination of antibiotics and steroids
Authors: Jayasanka K. T. Rajith , Kottage Ishara  Sandeepani , Pussagoda Kaushalya , Pathmakanthi K. A. I. , Munasinghe Thilina  Madushanka , Wijenayake Binari , Kankananarachchi Imalke
Published: June 2023

No abstract available
Sri Lanka Journal of Child Health, 2023: 52(2): 242-244
Assessment of knowledge, attitude and practices regarding emergency management of dental trauma in children among school teachers: A cross-sectional questionnaire study
Authors: Bhusari Bhuvanesh Nitin , Hugar Shivayogi M , Badakar Chandrashekhar , Kohli Neha , Saxena Nivedita , Karmarka Sanika r
Published: June 2023

Background: Due to increased prevalence of dental trauma in school-going children, knowledge regarding its emergency management is vital to groups commonly supervising the children such as school teachers and parents.
Objectives: To assess the knowledge, attitude and practices regarding emergency management of dental trauma in children among school teachers.
Method: A cross-sectional survey was conducted comprising 160 participants. A 15-item validated questionnaire containing four domains of demographic data, knowledge, attitude and practices was distributed among the participants. Descriptive analysis was done using IBM SPSS software version 20.0 (Chicago IL, USA).
Results: It was found that 56.9%, 57.5% and 70% of school teachers respectively had low levels of knowledge, practice and attitude When correlation between knowledge, attitude and practice was studied, positive correlation was seen between them which signified low knowledge correlated with less positive attitude owing to less referral practices.
Conclusions: There was inadequate knowledge about emergency management of dental trauma in children among school teachers.
Sri Lanka Journal of Child Health, 2023: 52(2): 161-168
Cross-fused right-to-left renal ectopia presenting as hypertension in a threeyear-old
Authors: Sandakelum Udara , Samararathna Ruwan , Kumarasiri Ishara , Balasubramaniam Reha , Mettananda Sachith
Published: June 2023

No abstract available
Sri Lanka Journal of Child Health, 2023: 52(2): 245-248
Th1 Cells Alter the Inflammatory Signature of IL-6 by Channeling STAT Transcription Factors to Alu-like Retroelements
Authors: Millrine David , Cardus Figueras Ana , Uceda Fernandez Javier , Andrews Robert , Szomolay Barbara , Cossins Benjamin C , Rice Christopher M , Li Jasmine , Tyrrell Victoria J , McLeod Louise , Holmans Peter , O’Donnell Valerie B , Taylor Philip R , Turner Stephen J , Jenkins Brendan J , Jones Gareth W , Topley Nicholas , Williams Nigel M , Jones Simon A
Published: June 2023

Cytokines that signal via STAT1 and STAT3 transcription factors instruct decisions affecting tissue homeostasis, antimicrobial host defense, and inflammation-induced tissue injury. To understand the coordination of these activities, we applied RNA sequencing, chromatin immunoprecipitation sequencing, and assay for transposase-accessible chromatin with high-throughput sequencing to identify the transcriptional output of STAT1 and STAT3 in peritoneal tissues from mice during acute resolving inflammation and inflammation primed to drive fibrosis. Bioinformatics focused on the transcriptional signature of the immunomodulatory cytokine IL-6 in both settings and examined how profibrotic IFN-γ–secreting CD4+ T cells altered the interpretation of STAT1 and STAT3 cytokine cues. In resolving inflammation, STAT1 and STAT3 cooperated to drive stromal gene expression affecting antimicrobial immunity and tissue homeostasis. The introduction of IFN-γ–secreting CD4+ T cells altered this transcriptional program and channeled STAT1 and STAT3 to a previously latent IFN-γ activation site motif in Alu-like elements. STAT1 and STAT3 binding to this conserved sequence revealed evidence of reciprocal cross-regulation and gene signatures relevant to pathophysiology. Thus, we propose that effector T cells retune the transcriptional output of IL-6 by shaping a regulatory interplay between STAT1 and STAT3 in inflammation.