bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh penambahan konsentrasi rumput laut (Eucheuma cottonii) yang berbeda terhadap nilai sensori dan nilai proksimat es krim
Authors: Abdjanur Sitti Muthmaina , Haslianti Haslianti , Huli La Ode
Published: November 2022

Penelitian ini untuk mengetahui pengaruh penambahan konsentrasi rumput laut (Eucheuma cottoni) yang berbeda terhadap nilai sensori dan nilai proksimat pada es krim. Sampel yang diuji dibagi menjadi empat perlakuan dan tiga kali ulangan diantaranya es krim tanpa penambahan rumput laut, es krim penambahan 50g rumput laut, 65g rumput laut, dan 80g rumput laut. Oleh sebab itu penelitian ini didesain dengan rancangan acak lengkap. Pengaruh perbedaan penambahan konsentrasi rumput laut (Eucheuma cottonii) terhadap uji sensori dan nilai proksimat dilakukan setelah proses pembekuan. Hasil penelitian menunjukkan bahwa nilai sensori berdasarkan data panelis menunjukkan berpengaruh tidak nyata terhadap aroma, berpengaruh nyata terhadap kenampakan, rasa dan tekstur. Nilai hasil uji proksimat secara presentatif cenderung variatif selama total lama pembekuan duabelas jam berdasarkan perlakuan terbaik yaitu kandungan air P0, P1, P2, dan P3 berturut-turut (P0) 54,56%; (P1) 56,01%; (P2) 56,46%; (P3) 59,70%, Kadar abu (P0) 0,9%; (P1) 0,95%; (P2) 1,03%; (P3) 1,06%, Protein (P0) 7,71%; (P1) 10,00%; (P2) 12,92%; (P3) 13,95%, Lemak (P0) 9,57%; (P1) 10,12%; (P2) 13,36%; (P3) 13,93%, Serat kasar (P0) 5,54%; (P1) 6,49%; (P2) 9,57%; (P3) 10,26%, Karbohidrat (P0) 21,81%; (P1) 16,43%; (P2) 6,66%; (P3) 1,1%.
Pengaruh Substitusi Tepung Sagu Terhadap Nilai Sensori Dan Kimia Kerupuk Belut Sawah (Monopterus albus)
Authors: Nurjandi Bobbi , Haslianti Haslianti , Suwarjoyowirayatno Suwarjoyowirayatno
Published: November 2022

Kerupuk adalah salah satu olahan makanan tradisional yang sederhana, sehingga dapat dikembangkan. Tujuan penelitian ini adalah untuk mengetahui pengaruh penambahan konsentrasi tepung sagu (Sago flour) yang berbeda terhadap uji sensori (kenampakan, aroma, rasa dan tekstur), uji fisik (volume pengembangan) dan uji kimia (kadar air, kadar abu, kadar protein dan kadar karbohidrat) pada kerupuk belut sawah. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) yang terdiri dari empat perlakuan yaitu perlakuan P1 (70%,0%), P2 (35%,35%) P3 (17%,53%) P4 (0%,70%) dengan ulangan sebanyak tiga kali. Data hasil pengamatan dianalisis menggunakan ANOVA (Analysis of Variance) apabila terdapat beda nyata maka dilakukan dengan uji DMRT (Duncan Multiple Range Test) pada taraf kepercayaan 95%. Hasil penelitian yang diperoleh menunjukkan bahwa penambahan tepung sagu yang berbeda terhadap kerupuk belut sawah memberikan pengaruh tidak nyata terhadap nilai sensori yang meliputi aroma dan tekstur, tetapi pada sensori kenampakan dan rasa memberikan pengaruh sangat nyata. Hasil terbaik untuk penilaian sensori terdapat pada P1 dengan nilai kenampakan (7,50), aroma (7,28) rasa (7,53) tekstur (4,00). Perlakuan terbaik pada uji fisik volume pengembangan menunjukkan nilai terbaik yaitu P1 dengan nilai volume pengembangan 37.03%. Perlakuan terbaik pada uji kimia terdapat pada perlakuan P2 dengan nilai kadar air 6,67%, kadar protein 14,08%, sedangkan perlakuan terbaik untuk kadar abu 3.02% dan kadar karbohidrat 66,86% terdapat pada P4.
EVALUASI KINERJA PANGKALAN PENDARATAN IKAN HIGIENIS KOTA KENDARI BERDASARKAN ASPEK SANITASI
Authors: Subhany Fajri , Tadjuddah Muslim , Alimina Naslina
Published: November 2022

Pangkalan Pendaratan Ikan (PPI) Kota Kendari saat ini telah dimanfaatkan dalam kegiatan pembongkaran dan pemasaran ikan baik untuk lokal dan antar pulau, untuk itu mutu dan kualitas hasil tangkapan harus dapat terjamin dengan cara mengoptimalkan fungsi pelabuhan dari aspek sanitasi. Pemanfaatan Pelabuhan ini terus mengalami peningkatan termasuk didalamnya jumlah produksi. Berdasarkan kondisi tersebut maka perlu adanya suatu evaluasi kinerja PPI Kota Kendari yang berbasis tempat pemasaran ikan higienis. Diharapkan dari pelaksanaan penelitian ini dapat memberikan perbaikan pelayanan dalam hal ini peralatan sanitasi  dan peningkatan efisiensi agar kinerja PPI Kota Kendari dapat meningkat yang selanjutnya dapat berdampak pada peningkatan mutu hasil tangkapan dan mendorong peningkatan pengembangan sektor perikanan di wilayah ini. Penelitian ini tujuan mengevaluasi kinerja PPI Kota Kendari berdasarkan aspek sanitasi yang sesuai dengan standar teknis TPI Higienis. Penelitian ini diharapkan dapat memberikan manfaat dan sumbangan informasi dalam pengembangan pelabuhan perikanan yang di Kota Kendari berbasis TPI Higienis. Aspek Sanitasi yang dikaji dalam penelitian antara lain : optimalisasi sarana dan prasarana, kebutuhan fasilitas khusus, operator sanitasi, prosedur sanitasi menurut SOP. Dengan responden yang berasal dari UPTD dan Pengelola PPI, kelompok nelayan, pengurus kapal, pengguna PPI yaitu pengunjung atau pembeli. Metode penelitian yang digunakan adalah metode survei. Hasil penelitian menujukkan fasilitas yang terdapat di PPI higienis Kota Kendari belum mendukung pelaksanaan kegiatan TPI  higienis berdasarkan aspek sanitasi,  dalam operasionalisasi sehari-hari belum melaksanakan sesuai arahan dengan petunjuk teknis TPI higienis
PENGARUH PENAMBAHAN PROPORSI KERANG POKEA (Batissa violacea var. celebensis, von Martens 1897) ASAP YANG BERBEDA TERHADAP NILAI ORGANOLEPTIK DAN PROKSIMAT SAMBAL
Authors: Dari Wulang , Isamu Kobajashi Togo , Nadia Laode Muhamad Hazairin
Published: November 2022

Penelitian ini bertujuan untuk mengetahui pengaruh penambahan proporsi kerang pokea (Batissa violacea var. celebensis, von Martens 1897) asap terhadap nilai orhanoleptik dan proksimat pada sambal. Parameter yang diuji yaitu uji organoleptik secara deskriptif dan hedonik dan uji proksimat sambal kerang pokea asap. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan menggunakan tiga perlakuan (penambahan proporsi kerang pokea asap sebanyak 40 g, 50 g dan 60 g) masing-masing tiga kali ulangan. Data hasil pengujian dianalisis menggunakan ANOVA (Analysis of Varian), apabila berpengaruh nyata maka dilanjutkan dengan uji DMRT (Duncan Multiple Range Test) pada taraf kepercayaan 95% (α=0,05). Berdasarkan hasil uji organoleptik secara deskriptif dengan parameter warna, aroma, rasa dan tingkat kepedasan berpengaruh nyata terhadap sambal, sedangkan untuk tekstrur tidak berpengaruh terhadap sambal dan organoleptik secara hedonik atau tingkat kesukaan panelis berpengaruh terhadap penambahan proporsi pokea asap kedalam sambal terhadap parameter warna, aroma, rasa dan tekstur yang dimana semakin banyak penambahan proporsi kerang pokea asap maka semakin rendah tingkat kesukaan panelis. Proksimat  sambal kerang pokea asap dengan penambahn proporsi kerang pokea asap 40 g, 50 g dan 60 g yaitu kadar air 13,84-18,32%, kadar protein 24,46-29,46%, kadar lemak 36,92-45,82%, kadar abu 3,84-6,15% dan kadar karbohidrat 3,77-8,71%
Perbandingan Uji Likelihood Ratio Dan Uji F Asymtotik Pada Regresi Linier
Authors: Hermanto Hermanto , Somayasa Wayan , Pimpi La
Published: November 2022

Abstrak: Analisis regresi adalah studi mengenai ketergantungan satu variabel terikat dengan satu atau lebih variabel bebas, dengan tujuan mengestimasi dan memprediksi rata-rata populasi atau nilai rata-rata variabel terikat berdasarkan nilai variabel bebas yang diketahui. Terdapat berbagai uji hipotesis yang dapat digunakan untuk menentukan model yang cocok untuk untuk mengetahui hubungan antar variabel tidak bebas dengan satu atau lebih variabel bebas, di antarannya adalah uji likelihood ratio dan uji F asimtotik. Uji hipotesis menggunakan uji likelihood ratio, dimana merupakan salah satu uji yang berhubungan langsung dengan penduga maksimum likelihood, yang model distribusi dari populasinya mengikuti model distribusi dengan pdf tertentu dimana diasumsikan normal dibandingkan dengan uji hipotesis menggunakan uji F asymtotik, yang merupakan uji di mana perosedur inferensi secara asimtotik tidak membutuhkan asumsi distribusi dari observasinya. uji hipotesis baik uji likelihood ratio dan uji F asymtotik pada analisis regresi menghasilkan bentuk model yang sama.Kata Kunci: Analisis Regresi, Uji Likelihood ratio, Uji F AsymtotikAbstract: Regression analysis is a study of the dependence of one dependent variable with one or more independent variables, with the aim of estimating and predicting the population mean or average value of the dependent variable based on the known value of the independent variable. There are various hypothesis tests that can be used to determine a suitable model to determine the relationship between dependent variables and one or more independent variables, including the likelihood ratio test and the asymptotic F test. Hypothesis testing uses the likelihood ratio test, which is one of the tests that is directly related to the maximum likelihood estimator, where the distribution model of the population follows a distribution model with a particular pdf which is assumed to be normal compared to the hypothesis test using the asymptotic F test, which is a test in which the inference procedure asymptotically it does not require assuming the distribution of the observations. Hypothesis test both likelihood ratio test and asymptotic F test in regression analysis produces the same model.Key words: Regression Analysis, likelihood ratio test, asymptotic F test.
Eksplorasi Konsep Etnomatematika Geometri pada Bangunan Pura
Authors: Eka Murtiawan Wayan , Kadir Kadir , Ngurah Adhi Wibawa Gusti
Published: November 2022

Penelitian ini bertujuan untuk mengeplorasi konsep etnomatematika geometri yang terkandung pada bangunan Pura Puseh-Desa Wusana Bumi. Teknik pengumpulan data penelitian ini adalah teknik observasi, wawancara dan dokumentasi. Pemeriksaan keabsahan data dilakukan dengan triangulasi sumber. Matematika dan budaya adalah dua hal yang saling berkaitan. Matematika dalam budaya dikenal dengan istilah etnomatematika. Hasil penelitian menunjukkan bahwa pada bangunan pura terdapat bentuk-bentuk etnomatematika geometri: limas, limas terpancung, prisma terpancung, kubus, serta terdapat konsep matematika seperti simetri, kesejajaran, perbandingan, refleksi terhadap sumbu-y, translasi terhadap sumbu-x, dilatasi dengan faktor skala k, konsep-konsep geometri ini dapat di gunakan dalam pembelajaran matematika di sekolah.
Penerapan Teknik Scaffolding dalam Pembelajaran Matematika untuk Meningkatkan Kemampuan Komunikasi Matematis Ditinjau dari Kemandirian Belajar Siswa SMA Negeri 3 Kendari
Authors: Yuningsih Sima , Kodirun Kodirun , Ili La
Published: November 2022

Tujuan utama penelitian ini adalah untuk mengetahui peningkatan kemampuan komunikasi matematis siswa yang diajar dengan teknik scaffolding dan yang diajar tanpa menggunakan teknik scaffolding ditinjau dari kemandirian belajar. Pengambilan sampel dalam penelitian ini menggunakan teknik purposive sampling dan random class.Pengumpulan data dilakukan dengan pemberian tes kemampuan komunikasi matematis siswa berbentuk tes uraian, dan angket kemandirian belajar. Analisis data yang digunakan yaitu analisis deskriptif statistik dan analisis inferensial dengn uji hipotesis menggunakan Uji ANAVA dengan RAK dan Uji t Beda Dua Rataan dari data N-Gain kemampuan komunikasi matematis siswa. Hasil penelitian menunjukkan bahwa (1) Secara signifikan terdapat peningkatan kemampuan komunikasi matematis antara siswa yang diajar dengan teknik scaffolding lebih tinggi daripada siswa yang diajar tanpa teknik scaffolding, (2) Terdapat perbedaan yang signifikan kemampuan komunikasi matematis siswa yang diajar dengan teknik scaffolding dan yang diajar tanpa teknik scaffolding ditinjau dari kemandirian belajar.
Analisis Kemampuan Menulis Matematis Siswa Dalam Menyelesaikan Masalah Matematis Ditinjau Dari Gaya Kognitif Impulsif dan Reflektif
Authors: Astuti Fuji , Sumarna Nana , Tenriawaru Andi , Muhibi Muhibi
Published: November 2022

Tujuan dari penelitian ini adalah untuk mengungkapkan kemampuan menulis matematis siswa MTs. ASH-SHIDDIQ dalam menyelesaikan masalah matematis ditinjau dari gaya kognitif impulsif dan gaya kognitif reflektif. Jenis penelitian ini adalah penelitian ekploratif dengan pendekatan kualitatif. Subjek penelitian ini adalah siswa kelas VIII MTs. ASH-SHIDDIQ yang terdiri dari 2 siswa. Instrumen dalam penelitian ini ada 2 macam yaitu instrumen utama (peneliti sendiri) dan instrumen bantu yaitu tes gaya kognitif MFFT, tes kemampuan menulis matematis pada materi SPLDV, dan pedoman wawancara. Pengumpulan data dilakukan dengan pemberian tes dan wawancara. Data kemampuan menulis matematis yang diperoleh selanjutnya dilakukan triangulasi waktu melalui pemberian masalah baru yang setara untuk diselesaikan pada waktu yang berbeda. Teknik analisis data dalam penelitian ini dilakukan berdasarkan model Milles dan Huberman yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa (a) Siswa yang bergaya kognitif impulsif mampu menyatakan suatu situasi atau ide matematis dalam bentuk simbol/model matematis yakni mampu menyelesaikan masalah dengan membuat model ekpresi matematis. Mampu membuat representasi visual gambar yakni mampu membuat gambar atau grafik untuk menyelesaikan masalah yang diberikan. serta mampu menyatakan dan menjelaskan suatu gambar/model matematis dalam bentuk ide matematis yakni mampu menyelesaikan masalah dengan menggunakan kata-kata atau teks tertulis; (b) Siswa yang bergaya kognitif reflektif mampu menyatakan suatu situasi atau ide matematis dalam bentuk simbol atau model matematis yakni mampu menyelesaikan masalah dengan membuat model ekpresi matematis. tidak mampu membuat representasi visual gambar yakni tidak mampu membuat gambar atau grafik untuk menyelesaikan masalah yang diberikan, dan mampu menyatakan dan menjelaskan suatu gambar atau model matematis dalam bentuk ide matematis yakni mampu menyelesaikan masalah dengan menggunakan kata-kata atau teks tertulis.
Eksplorasi Etnomatematika pada Tarian Lumense Suku Moronene Tokotu’a di Kabaena
Authors: Nurhayati Sitti , Busnawir Busnawir , Misu La
Published: November 2022

Penelitian ini bertujuan untuk mendeskripsikan (1) sejarah awal munculnya tarian Lumense, (2) rincian kegiatantarian Lumense, (3) atribut yang digunakan dalam tarian Lumense (4) aktivitas fundamentalis matematika yang ada dalam tarian Lumense (5) konsep-konsep matematika yang terdapat pada tarian Lumense. Subjek penelitian adalah tari Lumense suku moronene Tokotu’a di Kabaena. Instrumen utama dalam penelitian ini adalah peneliti. Teknik pengumpulan data menggunakan wawancara mendalam, observasi partisipan dan studi dokumentasi. Uji keabsahan data menggunakan triangulasi sumber dan data, dianalisis menggunakan kondensasi data, penyajian data serta verifikasi data. Hasil penelitian menunjukkan bahwa aktivitas matematis yang ada pada tarian lumense yaitu counting, locating, measuring, designing, playing dan explaining. Pada tarian Lumense terdapat bentuk-bentuk matematika yaitu, bangun datar meliputi persegi, persegi panjang, trapesium, belah ketupat, lingkaran, dan segitiga, bentuk bangun ruang meliputi kerucut, bola, dan tabung, serta terdapat konsep-konsep matematika seperti konsep himpunan dan konsep membilang.
Analisis Kemampuan Berpikir Kreatif Matematis Ditijau dari Self-Efficacy pada Siswa Kelas VIIb MTS Al Hidaya Tosiba
Authors: Jumriani Jumriani , Salam Mohamad , Awaluddin Awaluddin
Published: November 2022

Tujuan penelitian ini untuk menganalisis (1) kemampuan berpikir kreatif matematis siswa yang memiliki Self-Efficacy  tinggi; (2) kemampuan berpikir kreatif matematis siswa yang memiliki Self-Efficacy sedang; (3) kemampuan berpikir kreatif matematis siswa yang memiliki self-efficacy  rendah. Hasil penelitian menunjukkan bahwa: (1) kemampuan berpikir kreatif matematis siswa yang memiliki Self-Efficacy tinggi telah mencapai dua indikator yaitu indikator kelancaran (Fluency), dan indikator keluwesan (Flexibility), belum mencapai untuk indikator keaslian (Originality) maupun indikator keterincian (Elaboration); (2) kemampuan berpikir kreatif matematis siswa yang memiliki Self-Efficacy sedang telah mencapai satu indikator yaitu indikator kelancaran (Fluency), belum mencapai indikator keluwesan (Flexibility), indikator keaslian (Originality) maupun indikator keterincian (Elaboration); (3) kemampuan berpikir kreatif matematis siswa yang memiliki Self-Efficacy rendah yakni tidak ada satupun indikator yang dicapai (indikator kelancaran (Fluency), keluwesan (Flexibility), keaslian (Originality), dan keterincian (Elaboration).
Pengembangan Modul Pembelajaran Matematika Berbasis Model Pembelajaran Core untuk Melatih Kemampuan Berpikir Aljabar Siswa
Authors: Ardi Dwiantara Gede , Busnawir Busnawir , Salam Mohamad
Published: November 2022

Penelitian ini bertujuan untuk menghasilkan modul pembelajaran matematika yang valid, praktis, dan efektif untuk melatih kemampuan berpikir aljabar siswa. Jenis penelitian ini adalah penelitian pengembangan. Model pengembangan yang digunakan adalah modifikasi model 4D yang terdiri dari define, design, dan develop. Subjek penelitian ini adalah 3 orang dosen Pendidikan matematika Pascasarjana Universitas Halu Oleo, 4 orang guru matematika, dan 25 siswakelas VIII SMP Negeri 22 Konawe Selatan. Objek penelitian ini adalah modul pembelajaran matematika berbasis model pembelajaran CORE. Instrumen penelitian yang digunakan yaitu angket validasi, angket keterbacaan, angket respon siswa dan angket respon guru. Hasil penelitian ini telah menunjukkan bahwa modul pembelajara nmatematika yang dikembangkan telah memenuhi kriteria valid, praktis, dan efektif untuk melatih kemampuan berpikir aljabar siswa.
Analisis Kemampuan Representasi Matematis Siswa Ditinjau Dari Self-Efficacy
Authors: Sufriadin Sufriadin , Cahyono Edi , Busnawir Busnawir
Published: November 2022

Tujuan penelitian ini adalah untuk mengetahui karakteristik kemampuan representasi matematis siswa kelas XII SMAN 1 Kendari dengan tingkat self-efficacy tinggi, sedang, dan rendah. Jenis penelitian ini adalah peneltian kualitatif deskriptif. Instrumen dalam penelitian ini adalah instrumen utama yaitu peneliti itu sendiri dan instrumen bantu yaitu angket self-efficacy, tes kemampuan representasi matematis, dan wawancara. Data yang telah diperoleh selanjutnya diuji keabsahan datanya menggunakan Uji kredibilitas data dengan triangulasi waktu. Hasil penelitian menunjukkan bahwa: (1) Siswa dengan self-efficacy tinggi memiliki kemampuan representasi visual tinggi, kemampuan representasi simbolik sedang, dan kemampuan representasi verbal Sedang. (2) Siswa dengan self-efficacy sedang memiliki kemampuan representasi visual sedang, kemampuan representasi simbolik sedang, dan kemampuan representasi verbal sedang. (3) Siswa denganself-efficacy rendah memiliki kemampuan representasi visual rendah, kemampuan representasi simbolik sedang, dan kemampuan representasi verbal rendah.
Peningkatan Representasi Matematis Siswa SMA Melalui Penerapan Model Pembelajaran Kooperatif Tipe Assisted Individualization
Authors: Tahmil Tahmil , Kadir Kadir , Ruslan Ruslan
Published: November 2022

Representasi matematis siswa masih tergolong rendah yang disebabkan oleh pembelajaran matematika selama ini siswa jarang diberikan kesempatan untuk menghadirkan atau mengaplikasikan representasinya sendiri, materi pembelajaran yang diterapkan cenderung teoritik dan kurang berhubungan dengan kehidupan sehari-hari, serta kurang menggali representasi matematis siswa. Upaya memfasilitasi agar representasi matematis siswa berkembang menjadi sangat penting. Salah satu cara untuk mengembangkan representasi matematis siswa adalah dengan mengubah model pembelajaran ke arah yang lebih baik, efektif, kondusif, bervariasi dan menyenangkan. Model pembelajaran yang baik untuk diterapkan pada pembelajaran matematika dan dalam mendorong munculnya representasi matematis siswa adalah model pembelajaran kooperatif tipe Team Asissted Individualization. Tujuan penelitian ini adalah untuk melihat meningkatkan representasi matematis siswa melalui penerapan model pembelajaran kooperatif tipe Team Asissted Individualization. Penelitian ini menggunakan Pretest-posttest control group design. Populasi penelitian ini adalah seluruh siswa kelas XI SMA Negeri 1 Samaturu, sampel penelitian diambil 2 kelas dengan tekhnik Simple Random Sampling sehingga diperoleh kelas XI Mipa-4 Sebagai kelas eksperimen dan Kels XI Mipa-3 sebagai kelas kontrol. Instrumen yang digunakan dalam penelitian ini adalah berupa tes tertulus representasi matematis. Data dianalisis dengan menggunakan statistik deskriptif dan inferensial dengan uji hipotesis menggunakan Uji T, dan Uji T berpasangan pada α = 0,05. Berdasarkan hasil analisis data dapat disimpulkan bahwa secara keseluruhan representasi matematis siswa yang diajar dengan model pembelajaran kooperatif tipe Team Asissted Individualization memperoleh peningkatan yang secara signifikan lebih tinggi dari siswa yang diajar dengan model pembelajaran konvensional
INTENSITY OF GROWTH AND DEVELOPMENT OF PLANTS ALFALFA VARIABLE UNDER THE INFLUENCE OF INOCULATION WITH ACTIVE RHISOBIAL STRAINS
Authors: P'yankov Aleksandr
Published: November 2022

We studied the effect of presowing inoculation of alfalfa varieties Lada and Lugovaya 67 with strains of nodule bacteria CXM 404b and T 15. It was found that inoculation with strain CXM 404b accelerated the spring regrowth of alfalfa plants of both varieties by 3 days, and by strain T 15 by 6 days. The period from the beginning of regrowth to the beginning of flowering under the influence of inoculation with strain CXM 404b of Lada variety was reduced by 3 days, and Lugovaya 67 variety — by 6 days. Inoculation with strain T 15 accelerated the onset of the beginning of flowering phase by 7 days for both varieties. The strain CXM 404b increased the plant height of the Lugovaya 67 variety in the first year of use by 7 cm, in the second year by 11 cm compared to the control, and the Lada variety by 10 and 7 cm. Under the influence of the T 15 strain, the plant height of the Lugovaya 67 variety increased the first year of use by 7 cm, in the second by 13 cm, and the Lada varieties — by 16 and 12 cm.
Whole-body movement analysis using principal component analysis: What is the internal consistency between outcomes originating from the same movement simultaneously recorded with different measurement devices?
Authors: Van Andel Steven , Mohr Maurice , Schmidt Andreas , Werner Inge , Federolf Peter
Published: November 2022

A growing number of studies apply Principal Component Analysis (PCA) on whole-body kinematic data to facilitate an analysis of posture changes in human movement. An unanswered question is, how much the PCA outcomes depend on the chosen measurement device. This study aimed to assess the internal consistency of PCA outcomes from treadmill walking motion capture data simultaneously collected through laboratory-grade optical motion capture and field-suitable inertial-based motion tracking. Data was simultaneously collected using VICON (whole-body plug-in gait marker positions) and Xsens (body segment positions) from 20 participants during 2-min treadmill walking. Using PCA, Principal Movements (PMs) were determined using two commonly used practices: on an individual and a grouped basis. For both, correlation matrices were used to determine internal consistency between outcomes from either measurement system for each PM. Both individual and grouped approach showed excellent internal consistency between outcomes from the two systems among the lower order PMs. For the individual analysis, high correlations were only found along the diagonal of the correlation matrix while the grouped analysis also showed high off-diagonal correlations. These results have important implications for future application of PCA in terms of the independence of the resulting PM data, the way group-differences are expressed in higher-order PMs and the interpretation of movement complexity. Concluding, while PCA-outcomes from the two systems start to deviate in the higher order PMs, excellent internal consistency was found in the lower order PMs which already represent about 98% of the variance in the dataset.
Nickel-doped lanthanum cerate nanomaterials as highly active electrocatalysts
Authors: Butt Tehmeena Maryum , Erum Safia , Mujtaba Ayesha , Medvedev Dmitry , Janjua Naveed Kausar
Published: November 2022

The efficient oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) catalyst materials are crucial in the energy research domain due to their tunability. Structural modification in perovskites such as lanthanum cerates (LaCeO3) upon doping at A or B sites significantly affects the surface activity and enhances the catalysis efficacy. Herein, B-site nickel-doped lanthanum cerate (LaCe1-xNixO3±δ) nanopowders were applied as ORR indicators in high-temperature electrochemical impedance spectroscopy for solid-oxide fuel cell (SOFC) tests and in cyclic voltammetric OER investigations in alkaline medium. The integration into SOFC applications,viasolid-state EIS in a co-pressed three-layered cell with LCNiO as cathode, is investigated in an oxygen–methane environment and reveals augmented conductivity with temperatures of 700–850°C. The higher electrokinetic parameters—including diffusion coefficients, Doheterogeneous rate constant, ko, and peak current density for OER in KOH-methanol at a LCNiO-9-modified glassy carbon electrode—serve as robust gauges of catalytic performance. CV indicators and EIS conductivities of LaCe1-xNixO3±δnanomaterials indicate promising potencies for electrocatalytic energy applications.
Modulatory effect of filarial infection on the systemic hormone levels in subjects with metabolic syndrome (DM-LF5)
Authors: Sibi Joy Manohar , Mohan Viswanathan , Deepa Mohan , Babu Subash , Aravindhan Vivekanandhan
Published: November 2022

Aim

Metabolic syndrome (MS) refers to a group of co-morbidities which include central obesity, hypertension, hyperglycemia and dyslipidemia. Previously, we reported that childhood lymphatic filariasis (LF) confers significant protection against type-1 and type-2 forms of diabetes, by means of immunomodulation. In the present study, we studied the effect of LF on endocrine dysfunction in MS and Non-MS patients in baseline and after 10 years of follow-up.

Methods

We quantified the serum levels of pancreatic hormones (insulin and glucagon), incretins (Ghrelin, GIP and GLP-1) and adipokines (leptin, adiponectin, adipsin, visfatin, PAI-1 and resistin) by multiplex bead array system.

Results

MS (both LF- and LF+) subjects had increased insulin levels compared to NMS (both LF- and LF+) subjects. MS-LF+ subjects had significantly increased levels of glucagon, ghrelin, GIP and GLP-1 and decreased levels of adipsin, compared to MS-LF- subjects. Interestingly this effect was short-lived and was not seen in the follow-up samples.

Conclusion

Overall, LF infection might confer limited short-term beneficial effects against MS, by means of modulating the incretin levels,either directly or indirectly.
Identification of regional industrial priority pollutants in surface water: A field study in Taihu Lake Basin
Authors: Kang Ying , Chen Yuqi , Zhou Mengjiao , Xu Yingfeng , Feng Huajun , Chen Ruya
Published: November 2022

The current water environment management of China has gradually shifted from reaching water quality standards to preserving water ecological health, and the control focus has extended from traditional nitrogen and phosphorus pollutants to micropollutants, such as heavy metals and emerging pollutants. However, the precise traceability and regulatory system of micropollutants in different regions’ watersheds was not yet mature. A five-step strategy of risk assessment and management was proposed this study to successfully construct a list of industrial priority pollutants and a list of 376 priority control discharge enterprises in 13 administrative regions of China’s Taihu Lake Basin. Firstly, a preliminary list of 78 pollutants was determined with reference to the emission standards of major regional industrial pollution sources, relevant national environmental regulations and literature reports. Secondly, 22 types of priority control pollutants were re-screened based on the analytical results of surface water samples obtained from 26 monitoring sites in the study area. Then the environmental risk values of the re-screened pollutants were calculated referring to the Chemical Hazard Evaluation for Management Strategy (CHEMS-1) method. Next, the regional environmental risk baseline value was determined and the risk value equivalent (EY) for each pollutant was calculated. Finally, according to the EY results, the regional priority control pollutants were identified, and the priority control discharge enterprises were confirmed retroactively. The results of this study can provide methodological support and a scientific basis for the precise control of micropollutants in surface water from differentiated regions.
A bibliometric analysis of climate change risk perception: Hot spots, trends and improvements
Authors: Fan Jitong , Liu Gang , Xia Ziqian , Cai Sanfa
Published: November 2022

Climate change is a global problem, and it is receiving increasing scientific attention due to its significant impact. To provide valuable insights for understanding and summarizing the research trends and prospects on climate change risk perception, this study takes a qualitative and quantitative analysis by using bibliometric tools. This analysis presents information related to authors, countries, institutions, journals, top cited publications, research hot spots, trends, and prospects. The analysis involved 4429 articles after rigorous screening and evaluated them on the risk perception of climate change in countries and the public. The majority of publications were published during the period of 2016–2022 (70.92%), with Climatic Change being the dominant journal and most research originating from the USA, England and Australia. The research content of this topic is primarily divided into several categories, including environmental sciences, atmospheric sciences, water resources and public health. The results showed that adaptation and vulnerability attract much attention. Finally, this paper identifies and discusses five research themes that should be further studied: determinants of perception, human behavior, human mental health risk, agriculture and adaptive strategy.
Forensic age estimation from human blood using age-related microRNAs and circular RNAs markers
Authors: Wang Junyan , Zhang Haixia , Wang Chunyan , Fu Lihong , Wang Qian , Li Shujin , Cong Bin
Published: November 2022

Aging is a complicated process characterized by progressive and extensive changes in physiological homeostasis at the organismal, tissue, and cellular levels. In modern society, age estimation is essential in a large variety of legal rights and duties. Accumulating evidence suggests roles for microRNAs (miRNAs) and circular RNAs (circRNAs) in regulating numerous processes during aging. Here, we performed circRNA sequencing in two age groups and analyzed microarray data of 171 healthy subjects (17–104 years old) downloaded from Gene Expression Omnibus (GEO) and ArrayExpress databases with integrated bioinformatics methods. A total of 1,403 circular RNAs were differentially expressed between young and old groups, and 141 circular RNAs were expressed exclusively in elderly samples while 10 circular RNAs were expressed only in young subjects. Based on their expression pattern in these two groups, the circular RNAs were categorized into three classes: age-related expression between young and old, age-limited expression-young only, and age-limited expression-old only. Top five expressed circular RNAs among three classes and a total of 18 differentially expressed microRNAs screened from online databases were selected to validate using RT-qPCR tests. An independent set of 200 blood samples (20–80 years old) was used to develop age prediction models based on 15 age-related noncoding RNAs (11 microRNAs and 4 circular RNAs). Different machine learning algorithms for age prediction were applied, including regression tree, bagging, support vector regression (SVR), random forest regression (RFR), and XGBoost. Among them, random forest regression model performed best in both training set (mean absolute error = 3.68 years, r = 0.96) and testing set (MAE = 6.840 years, r = 0.77). Models using one single type of predictors, circular RNAs-only or microRNAs-only, result in bigger errors. Smaller prediction errors were shown in males than females when constructing models according to different-sex separately. Putative microRNA targets (430 genes) were enriched in the cellular senescence pathway and cell homeostasis and cell differentiation regulation, indirectly indicating that the microRNAs screened in our study were correlated with development and aging. This study demonstrates that the noncoding RNA aging clock has potential in predicting chronological age and will be an available biological marker in routine forensic investigation to predict the age of biological samples.
Improving the prediction for the response to radiotherapy of clinical tumor samples by using combinatorial model of MicroRNA expression
Authors: Tang Chao , Qi Jun , Wu Yan , Luo Ling , Wang Ying , Wu Yongzhong , Shi Xiaolong
Published: November 2022

Purpose: Radiation therapy (RT) is one of the main treatments for cancer. The response to radiotherapy varies widely between individuals and some patients have poor response to RT treatment due to tumor radioresistance. Stratifying patients according to molecular signatures of individual tumor characteristics can improve clinical treatment. In here, we aimed to use clinical and genomic databases to develop miRNA signatures that can predict response to radiotherapy in various cancer types.

Methods: We analyzed the miRNAs profiles using tumor samples treated with RT across eight types of human cancers from TCGA database. These samples were divided into response group (S, n = 224) and progressive disease group (R, n = 134) based on RT response of tumors. To enhance the discrimination for S and R samples, the predictive models based on binary logistic regression were developed to identify the best combinations of multiple miRNAs.

Results: The miRNAs differentially expressed between the groups S and R in each caner type were identified. Total 47 miRNAs were identified in eight cancer types (p values <0.05, t-test), including several miRNAs previously reported to be associated with radiotherapy sensitivity. Functional enrichment analysis revealed that epithelial-to-mesenchymal transition (EMT), stem cell, NF-κB signal, immune response, cell death, cell cycle, and DNA damage response and DNA damage repair processes were significantly enriched. The cancer-type-specific miRNA signatures were identified, which consist of 2-13 of miRNAs in each caner type. Receiver operating characteristic (ROC) analyses showed that the most of individual miRNAs were effective in distinguishing responsive and non-responsive patients (the area under the curve (AUC) ranging from 0.606 to 0.889). The patient stratification was further improved by applying the combinatorial model of miRNA expression (AUC ranging from 0.711 to 0.992). Also, five miRNAs that were significantly associated with overall survival were identified as prognostic miRNAs.

Conclusion: These mRNA signatures could be used as potential biomarkers selecting patients who will benefit from radiotherapy. Our study identified a series of miRNA that were differentially expressed between RT good responders and poor responders, providing useful clues for further functional assays to demonstrate a possible regulatory role in radioresistance.
Responsive and intelligent service recommendation method based on deep learning in cloud service
Authors: Yu Lei , Duan Yucong
Published: November 2022

The rapid expansion of the cloud service market is inseparable from its widely acclaimed service model. The rapid increase in the number of cloud services has resulted in the phenomenon of service overload. Service recommendations based on services’ function attributes are important because they can help users filter services with specific functions, such as the function of guessing hobbies on shopping websites and daily recommendation functions in the listening app. Nowadays, cloud service market has a large number of services, which have similar functions, but the quality of service (QoS) is very different. Although the recommendation based on services’ function attributes satisfies users’ basic demands, it ignores the impact of the QoS on the user experience. To further improve users’ satisfaction with service recommendations, researchers try to recommend services based on services’ non-functional attributes. There is sparsity of the QoS matrix in the real world, which brings obstacles to service recommendation; hence, the prediction of the QoS becomes a solution to overcome this obstacle. Scholars have tried to use collaborative filtering (CF) methods and matrix factorization (MF) methods to predict the QoS, but these methods face two challenges. The first challenge is the sparsity of data; the sparsity makes it difficult for CF to accurately determine whether users are similar, and the gap between the hidden matrices obtained by MF decomposition is large; the second challenge is the cold start of recommendation when new users (or services) participate in the recommendation; its historical record is vacant, making accurately predicting the QoS value be more difficult. To solve the aforementioned problems, this study mainly does the following work: 1) we organized the QoS matrix into a service call record, which contains user characteristic information and current QoS. 2) We proposed a QoS prediction method based on GRU–GAN. 3) We used the time series data for quality predictions and compared some QoS prediction methods, such as CF and MF. The results showed that the prediction results based on GRU–GAN are far superior to other prediction methods under the same data density. We aim to help the engineering community promote their findings, shape the technological revolution, improve multidisciplinary collaborations, and collectively create a better future.
Urine metabolomics and microbiome analyses reveal the mechanism of anti-tuberculosis drug-induced liver injury, as assessed for causality using the updated RUCAM: A prospective study
Authors: Wang Ming-Gui , Wu Shou-Quan , Zhang Meng-Meng , He Jian-Qing
Published: November 2022

Background

Anti-tuberculosis drug-induced liver injury (ATB-DILI) is one of the most common adverse reactions that brings great difficulties to the treatment of tuberculosis. Thus, early identification of individuals at risk for ATB-DILI is urgent. We conducted a prospective cohort study to analyze the urinary metabolic and microbial profiles of patients with ATB-DILI before drug administration. And machine learning method was used to perform prediction model for ATB-DILI based on metabolomics, microbiome and clinical data.

Methods

A total of 74 new TB patients treated with standard first-line anti-TB treatment regimens were enrolled from West China Hospital of Sichuan University. Only patients with an updated RUCAM score of 6 or more were accepted in this study. Nontargeted metabolomics and microbiome analyses were performed on urine samples prior to anti-tuberculosis drug ingestion to screen the differential metabolites and microbes between the ATB-DILI group and the non-ATB-DILI group. Integrating electronic medical records, metabolomics, and microbiome data, four machine learning methods was used, including random forest algorithm, artificial neural network, support vector machine with the linear kernel and radial basis function kernel.

Results

Of all included patients, 69 patients completed follow-up, with 16 (23.19%) patients developing ATB-DILI after antituberculosis treatment. Finally, 14 ATB-DILI patients and 30 age- and sex-matched non-ATB-DILI patients were subjected to urinary metabolomic and microbiome analysis. A total of 28 major differential metabolites were screened out, involving bile secretion, nicotinate and nicotinamide metabolism, tryptophan metabolism, ABC transporters, etc. Negativicoccus and Actinotignum were upregulated in the ATB-DILI group. Multivariate analysis also showed significant metabolic and microbial differences between the non-ATB-DILI and severe ATB-DILI groups. Finally, the four models showed high accuracy in predicting ATB-DILI, with the area under the curve of more than 0.85 for the training set and 1 for the validation set.

Conclusion

This study characterized the metabolic and microbial profile of ATB-DILI risk individuals before drug ingestion for the first time. Metabolomic and microbiome characteristics in patient urine before anti-tuberculosis drug ingestion may predict the risk of liver injury after ingesting anti-tuberculosis drugs. Machine learning algorithms provides a new way to predict the occurrence of ATB-DILI among tuberculosis patients.
Advanced primary vaginal squamous cell carcinoma: A case report and literature review
Authors: Shen Yue , Meng Xiangkai , Wang Lili , Wang Xiaoxiao , Chang Hua
Published: November 2022

Background

Vaginal carcinoma is a gynecological malignancy with low incidence, and there are few relevant and specific guidelines for vaginal cancer in our country and abroad. Here, we report the case who was diagnosed with advanced, primary vaginal squamous cell carcinoma and underwent integrated treatment successfully.

Case introduction

A 64-year-old Chinese woman underwent subtotal hysterectomy for uterine fibroids in 1998 and laparoscopic extensive residual cervical resection, bilateral ovarian salpingectomy, and pelvic lymph node dissection for residual cervical adenocarcinoma (stage IB1) in the First Affiliated Hospital of China Medical University in 2018. There was no postoperative review. The patient experienced vaginal discharge in March 2020, and vaginal bleeding occurred in July 2020. Our patient was diagnosed with stage IVA vaginal squamous cell carcinoma, based on a gynecological examination, colposcopy biopsy with histopathological examination, computed tomography scan, and tumor marker levels by two professors. After three phases of treatment (sequential treatment with chemotherapy plus radiotherapy, chemotherapy combined with immune checkpoint inhibitors, and immune checkpoint inhibitors combined with tyrosine kinase inhibitors therapy), her condition improved. Her current state is generally good, and she has achieved complete remission.

Conclusion

We report a rare case of a patient with primary advanced vaginal carcinoma combined with cervical adenocarcinoma. The patient was treated for approximately 2 years, and her personalized treatment showed promising results. We will continue to follow up with the patient and monitor her response to the current treatment process.
Immune and non-immune cell subtypes identify novel targets for prognostic and therapeutic strategy: A study based on intratumoral heterogenicity analysis of multicenter scRNA-seq datasets in lung adenocarcinoma
Authors: Fan Tianyu , Lu Jian , Niu Delei , Zhang Yue , Wang Bin , Zhang Bei , Zhang Zugui , He Xinjiai , Peng Nan , Li Biao , Fang Huilong , Gong Zheng , Zhang Li
Published: November 2022

Lung adenocarcinoma (LUAD) is the most common type of lung cancer and the leading cause of cancer incidence and mortality worldwide. Despite the improvement of traditional and immunological therapies, the clinical outcome of LUAD is still far from satisfactory. Patients given the same treatment regimen had different responses and clinical outcomes due to the heterogeneity of LUAD. How to identify the targets based on heterogeneity analysis is crucial for treatment strategies. Recently, the single-cell RNA-sequencing (scRNA-seq) technology has been used to investigate the tumor microenvironment (TME) based on cell-specific changes and shows prominently valuable for biomarker prediction. In this study, we systematically analyzed a meta-dataset from the multiple LUAD scRNA-seq datasets in LUAD, identified 15 main types of cells and 57 cell subgroups, and revealed a series of potential biomarkers in M2b, exhausted CD8+T, endothelial cells, fibroblast, and metabolic patterns in TME, which further validated with immunofluorescence in clinical cohorts of LUAD. In the prognosis analysis, M0 macrophage and T cell activation were shown correlated to a better prognosis (p<0.05). Briefly, our study provided insights into the heterogeneity of LUAD and assisted in novel therapeutic strategies for clinical outcome improvement.
Cardiac damage in autoimmune diseases: Target organ involvement that cannot be ignored
Authors: Pan Shu-Yue , Tian Hui-Min , Zhu Yong , Gu Wei-Jie , Zou Hao , Wu Xu-Qiang , Cheng Rui-Juan , Yang Zhi
Published: November 2022

Autoimmune diseases are diseases that cause damage to the body’s own tissues as a result of immune dysfunction, often involving multiple organs and systems. The heart is one of the common target organs of autoimmune diseases. The whole structure of the heart can be affected, causing microcirculatory disorders, arrhythmias, pericardial damage, myocarditis, myocardial fibrosis, and impaired valvular function. However, early clinical manifestations of autoimmune heart damage are often overlooked because they are insidious or have no typical features. The damage is often severe and irreversible when symptoms are apparent, even life-threatening. Therefore, early detection and treatment of heart damage in autoimmune diseases is particularly important. Herein, we review the clinical features and mechanisms of cardiac damage in common rheumatic diseases.
Multiplexed engineering and precision gene editing in cellular immunotherapy
Authors: Biederstädt Alexander , Manzar Gohar Shahwar , Daher May
Published: November 2022

The advent of cellular immunotherapy in the clinic has entirely redrawn the treatment landscape for a growing number of human cancers. Genetically reprogrammed immune cells, including chimeric antigen receptor (CAR)-modified immune effector cells as well as T cell receptor (TCR) therapy, have demonstrated remarkable responses across different hard-to-treat patient populations. While these novel treatment options have had tremendous success in providing long-term remissions for a considerable fraction of treated patients, a number of challenges remain. Limited in vivo persistence and functional exhaustion of infused immune cells as well as tumor immune escape and on-target off-tumor toxicities are just some examples of the challenges which restrain the potency of today’s genetically engineered cell products. Multiple engineering strategies are being explored to tackle these challenges.The advent of multiplexed precision genome editing has in recent years provided a flexible and highly modular toolkit to specifically address some of these challenges by targeted genetic interventions. This class of next-generation cellular therapeutics aims to endow engineered immune cells with enhanced functionality and shield them from immunosuppressive cues arising from intrinsic immune checkpoints as well as the hostile tumor microenvironment (TME). Previous efforts to introduce additional genetic modifications into immune cells have in large parts focused on nuclease-based tools like the CRISPR/Cas9 system or TALEN. However, nuclease-inactive platforms including base and prime editors have recently emerged and promise a potentially safer route to rewriting genetic sequences and introducing large segments of transgenic DNA without inducing double-strand breaks (DSBs). In this review, we discuss how these two exciting and emerging fields—cellular immunotherapy and precision genome editing—have co-evolved to enable a dramatic expansion in the possibilities to engineer personalized anti-cancer treatments. We will lay out how various engineering strategies in addition to nuclease-dependent and nuclease-inactive precision genome editing toolkits are increasingly being applied to overcome today’s limitations to build more potent cellular therapeutics. We will reflect on how novel information-rich unbiased discovery approaches are continuously deepening our understanding of fundamental mechanisms governing tumor biology. We will conclude with a perspective of how multiplexed-engineered and gene edited cell products may upend today’s treatment paradigms as they evolve into the next generation of more potent cellular immunotherapies.