bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of springtime streamflow prediction using a snow hydrology model aided with USDA SNOTEL and in-situ snowpit observations
Authors: Kang DoHyuk , Lee Kyungtae , Kim Edward 
Published: December 2022

AbstractEstimating the streamflow driven by snowmelt in rugged mountain watersheds is difficult. Challenges are associated with the limited observations of hydrologic and meteorological datasets and inadequate implementation of the snow hydrology models. This study aims to improve streamflow prediction during the snowmelt season using a snow hydrology model aided by field observations. When the point-based weather forcing data and in-situ snowpit measurements exist in or near a small-scale (2–3 km2) watershed, the hydrologic model demonstrated an improved streamflow prediction during the snowmelt period. A snow hydrology model was applied to the Senator Beck Basin (SBB) in Colorado to improve the streamflow prediction. A temperature index method was implemented in the hydrological model to accommodate the snowmelt routine, which releases water as a multiplication factor for a grid temperature surplus above the melting point. The temperature index was adjusted using in-situ snowpit observations collected in the SBB by the NASA SnowEx Year-1 campaign in February 2017. Using the determined temperature index and weather forcing data from the nearby USDA snow observation telemetry station, the Nash-Sutcliffe Efficiency of the simulated streamflow was elucidated with a value of 0.88 against the observed streamflow during April 1–22, 2017.
An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation
Authors: Xu He Ayu , Maccari Bernard , Guillain Hervé , Herzen Julien , Agri Fabio , Raisaro Jean Louis 
Published: December 2022

Background
Medical coding is the process that converts clinical documentation into standard medical codes. Codes are used for several key purposes in a hospital (eg, insurance reimbursement and performance analysis); therefore, their optimization is crucial. With the rapid growth of natural language processing technologies, several solutions based on artificial intelligence have been proposed to aid in medical coding by automatically suggesting relevant codes for clinical documents. However, their effectiveness is still limited to simple cases, and it is not yet clear how much value they can bring in improving coding efficiency and accuracy.

Objective
This study aimed to bring more efficiency to the coding process to improve the selection of codes by medical coders. To achieve this, we developed an innovative multimodal machine learning–based solution that, instead of predicting codes, detects the degree of coding complexity before coding is performed. The notion of coding complexity was used to better dispatch work among medical coders to eventually minimize errors and improve throughput.

Methods
To train and evaluate our approach, we collected 2060 cases rated by coders in terms of coding complexity from 1 (simplest) to 4 (most complex). We asked 2 expert coders to rate 3.01% (62/2060) of the cases as the gold standard. The agreements between experts were used as benchmarks for model evaluation. A case contains both clinical text and patient metadata from the hospital electronic health record. We extracted both text features and metadata features, then concatenated and fed them into several machine learning models. Finally, we selected 2 models. The first used cross-validated training on 1751 cases and testing on 309 cases aiming to assess the predictive power of the proposed approach and its generalizability. The second model was trained on 1998 cases and tested on the gold standard to validate the best model performance against human benchmarks.

Results
Our first model achieved a macro–F1-score of 0.51 and an accuracy of 0.59 on classifying the 4-scale complexity. The model distinguished well between the simple (combined complexity 1-2) and complex (combined complexity 3-4) cases with a macro–F1-score of 0.65 and an accuracy of 0.71. Our second model achieved 61% agreement with experts’ ratings and a macro–F1-score of 0.62 on the gold standard, whereas the 2 experts had a 66% (41/62) agreement ratio with a macro–F1-score of 0.67.

Conclusions
We propose a multimodal machine learning approach that leverages information from both clinical text and patient metadata to predict the complexity of coding a case in the precoding phase. By integrating this model into the hospital coding system, distribution of cases among coders can be done automatically with performance comparable with that of human expert coders, thus improving coding efficiency and accuracy at scale.
Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study
Authors: Ding Huitong , Mandapati Amiya , Karjadi Cody , Ang Ting Fang Alvin , Lu Sophia , Miao Xiao , Glass James , Au Rhoda , Lin Honghuang 
Published: December 2022

Background
Human voice has increasingly been recognized as an effective indicator for the detection of cognitive disorders. However, the association of acoustic features with specific cognitive functions and mild cognitive impairment (MCI) has yet to be evaluated in a large community-based population.

Objective
This study aimed to investigate the association between acoustic features and neuropsychological (NP) tests across multiple cognitive domains and evaluate the added predictive power of acoustic composite scores for the classification of MCI.

Methods
This study included participants without dementia from the Framingham Heart Study, a large community-based cohort with longitudinal surveillance for incident dementia. For each participant, 65 low-level acoustic descriptors were derived from voice recordings of NP test administration. The associations between individual acoustic descriptors and 18 NP tests were assessed with linear mixed-effect models adjusted for age, sex, and education. Acoustic composite scores were then built by combining acoustic features significantly associated with NP tests. The added prediction power of acoustic composite scores for prevalent and incident MCI was also evaluated.

Results
The study included 7874 voice recordings from 4950 participants (age: mean 62, SD 14 years; 4336/7874, 55.07% women), of whom 453 were diagnosed with MCI. In all, 8 NP tests were associated with more than 15 acoustic features after adjusting for multiple testing. Additionally, 4 of the acoustic composite scores were significantly associated with prevalent MCI and 7 were associated with incident MCI. The acoustic composite scores can increase the area under the curve of the baseline model for MCI prediction from 0.712 to 0.755.

Conclusions
Multiple acoustic features are significantly associated with NP test performance and MCI, which can potentially be used as digital biomarkers for early cognitive impairment monitoring.
ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI PRODUKSI USAHATANI PADI SAWAH SISTEM TABELA DAN TAPIN DI DESA TONGGOLOBIBI KECAMATAN SOJOL KABUPATEN DONGGALA
Authors: Pratama Erik , Tondi Karlina Muhsin 
Published: December 2022

This study aims to determine the effect of using input production of land area, seeds, urea fertilizer,
phonska fertilizer, labor and to analyze the difference in the effect of using the Tapin and Tabela planting
methods on the production of lowland rice farming in Tonggolobibi Village, Sojol District, Donggala
Regency. Determination of respondents in this study using the stratified random sampling method, with 232
members of the rice farmer population, 117 using the Tablea system and 115 Tapin systems then taking 15
percent samples from each planting system and obtained 37 respondents. The analytical method used in this
research is the Cobb-Douglas method. The results showed that the factors of land area, seeds, urea fertilizer,
phonska fertilizer, labor and dummy variables (planting system) together (simultaneously) had a significant
effect on lowland rice production in Tonggolobibi Village, Sojol District, Donggala Regency. Meanwhile,
partially, the variables of land area, urea fertilizer and phonska fertilizer have a significant effect on rice
production, except that the variables of seed and labor have no significant effect on lowland rice production.
The dummy variable (application of the seed planting system) showed insignificantly different results on
lowland rice production in Tonggolobibi Village. This means that the use of one method of planting, both
Tabela and Tapin, has not been able to influence changes in lowland rice production
ANALISIS PEMASARAN KOPRA DI DESA LABUAN TOPOSO KECAMATAN LABUAN KABUPATEN DONGGALA
Authors: Akbar Moh , Effendy Effendy , Wirahatmi Wirahatmi 
Published: December 2022

This study aims to analyze the cocoa marketing chain from Labuan Toposo Village, Labuan Subdistrict,
Donggala Regency to the hands of consumers. This research was conducted in Labuan Toposo Village,
Labuan Subdistrict, Donggala Regency from March to May 2020. Respondents were determined using
simple random sampling method (Simple Random Sampling) with 32 producers (farmers) as
respondents and the trader respondents were selected by means of the Tracing Sampling method in
order to obtain 1 trader and 1 wholesaler. marketing shows that the copra marketing channel in Labuan
Toposo Village is through two marketing channels, namely: Farmers Traders, Collectors, Factory
wholesalers (final consumers), Farmers, Factory wholesalers (final consumers). The results of channel 1
copra marketing margin analysis, namely MT = Rp. 1,500 / kg while the second channel is MT =
Rp. 1,000 / kg. The share of the price received by cocoa farmers on channel 1 is 81.3%, while in the
second channel is 87.5%. Marketing efficiency in the first channel is 9.0 %, while the efficiency value
for channel II is 7.8%, so that of the two channels, the most efficient channel is the second channel with
ANALISIS PENDAPATAN DAN KELAYAKAN INDUSTRI KERIPIK SUKUN PADA RUMAH INDUSTRI CITRA LESTARI PRODUCTION DI KOTA PALU
Authors: Kibar Kibar , Damayanti Lien 
Published: December 2022

In Palu City, quite a number of industries use breadfruit as the main raw material in their
production. Based on the research results, the Citra Lestari Production Industry is one of the industries
in Palu City that produces breadfruit chips in several industries in Palu City. Agro-industry is an effort
to increase the efficiency of the agricultural sector to become a very productive activity through the
process of agricultural modernization. This study aims to, analyze the amount of costs, revenues, and
income at the Citra Lestari Production Industrial house in running the breadfruit chips business.
Knowing the feasibility of home breadfruit chips Industry Citra Lestari Production. This research will
be conducted at the Citra Lestari Production Industry house in Palu City, having its address at Jl.
Kimaja No. 9 Sub-district of West Besusu, East Palu District. The location was determined
purposively with the consideration that the Citra Lestari Production industrial house is a chipprocessing industry in the city of Palu. This research was conducted in August-September 2019.
Respondents in this study were leaders and workers of the Citra Lestari Production Industry.
Respondents were determined purposively, with the consideration that company leaders know the ins
and outs of the company, such as the company's history, production capacity, financial condition, and
so on. Thus the number of respondents consists of 1 leader and 1 worker. The data used in this study
came from primary data and secondary data. Primary data collection was carried out by means of
observation and direct interviews with the leadership and home workers of the Citra Lestari
Production Industry house using a questionnaire, and secondary data was obtained from various
literatures and several related agencies that could support this research activity. Based on the results
of the research and discussion that has been described, it can be concluded as follows. The results
showed that the production of breadfruit chips was 3,000 packs/150 grams at a price of
Rp.13,000/package, so that the total revenue to the Citra Lestari Production industry was
Rp.30,000,000/month. It is known that the fixed costs are Rp.9,408,082/month, while the total variable costs
incurred is Rp.4,299,500/month. So the total costs incurred by the Citra Lestari Production Industry
Rp.13,707,582/month with an income of Rp.30,000,000 minus the total cost of Rp.13,707,582 is
Rp.25,292,418/month. The comparison of the total amount of revenue with the total cost is known to
be Rp.39,000,000, while the total cost incurred by the Citra Lestari Production Industry house is
Rp.13,707,582, thus the R/C value of the Citra Lestari Production Industry house is 2.84.
ANALISIS PENDAPATAN USAHATANI KELAPA SAWIT DI KECAMATAN KASIMBAR KABUPATEN PARIGI MOUTONG
Authors: Firawati Firawati , Safitri Dian 
Published: December 2022

This research aims to determine the income of oil palm farmers in Kasimbar District, Parigi
Moutong Regency. This research was conducted in Kasimbar District, Parigi Moutong Regency. The
location of this research was chosen intentionally (Purposive) with the consideration that Kasimbar
Subdistrict is an area where palm oil production is greater than other subdistricts in Parigi Moutong
Regency. This research was conducted from October to November 2019. The population in this study were
all oil palm farmers in Kasimbar District. Based on the initial survey, it was found that the total population
of oil palm farmers was 102 people. The sample was determined by using the simple random sampling
method (Simple Random Sampling), the number of samples taken was 31 people. The analysis used is
income analysis. The analysis showed that the average production was 77.132.23 kg of oil/ 3,19ha/year or
24.152.52/ha/ year. The selling price of local palm oil is Rp. 700.00/kg, so the average income received by
oil palm farmers is Rp. 53.992.561/3.19ha/ year or Rp. 16.906,761/ha/year. The average total cost incurred
by farmers is IDR 16.484.534/3.19 ha/year, or IDR 5.161.824/ha/year, so it is known that the average
income of oil palm farmers is IDR 37.508.024/3,19 ha/year, or Rp. 11.744.937/ ha/ year.
ANALISIS PENDAPATAN USAHATANI PADI SAWAH DESA PEWUNU KECAMATAN DOLO BARAT KABUPATEN SIGI
Authors: Mutmainnah Siti , Lamusa Arifuddin , Chansa Siti Yuliaty 
Published: December 2022

The purpose of this study was to determine the income of rice farmers in Pewunu Village, Dolo Barat
District, Sigi Regency. carried out in Pewunu Village, Dolo Barat District, Sigi Regency from November
2020 to January 2021. Determination of sample farmer respondents taken as many as 32 people from the
total population of lowland rice farmers with the consideration that these 32 respondents can represent the
population of lowland rice farmers in the village Pewunu. The data used are primary data and secondary
data. The analysis used in this research is income analysis. The results of the income analysis show that the
average income received by lowland rice farming in Pewunu Village, Dolo Barat District, Sigi Regency is
Rp. 29,223,124 per season with an average income of Rp. 41,861,250 per season minus the total cost of
Rp. 12,638,126 per season.
ANALISIS PRODUKSI USAHA TANI TOMAT DI DESA LERO KECAMATAN SINDUE KABUPATEN DONGGALA
Authors: Fadli Fadli 
Published: December 2022

Indonesian agriculture is tropical agriculture because most of its areas are in the tropics which are
derectly affected by the equator, which cust indonesian almost to two. Its agricultural business pattern is
dominated by people’s agriculture which has an average area of ownership and managgement of its
narrow and scattered land, in addition to being weak in capital ownership and less able to access capital
resources in existing financial institution, especially in both government and private banking, this study
aims to find out the influence of land area, seeds, fertilizer, labor on corn farming business in lero village,
sindue district, Donggala regency. Released in November 2019 until January 2020. The result of t-test
analysis show that partially affected land area is very real with t-count> t-table (3,353> 2,059) at a level.
5%, seeds significantly affected by t-count>t-table (4,152> 2,059) at a level 5% fertillizer significantly
affected by t-count> t-table (3,894> 2,059) at the a level. 5% and significantly affected workforce with tcount>t-table (2,204> 2,059) at a lavel.5% simultaneously the results of F-test analysis showed that land
area factors (XI), seeds (X2),fertilyzer (X3), and labor (X4) had a very significant effect on tomato
prodution with F-count> F-tabl (50,168> 2,059).
ANALISIS USAHATANI SAYURAN ORGANIK DI CV. RAHAYU DESA SIDERA KECAMATAN SIGI BIROMARU KABUPATEN SIGI
Authors: Rifandi Rifandi , M Marhawati , Howara Dafina 
Published: December 2022

CV. Rahayu is an organic vegetable business actor located in Sigi District. To keep getting
profits the company must improve efficiency, especially to minimize production costs. Determination
of price strategy and sales volume as a component of determining the company's profit is very
important in marketing, thus this business can maximize profits. This study aims to determine the cost
structure of the organic vegetable business in CV. Rahayu and to determine the level of profitability of
the organic vegetable business in CV. Grace. The research was carried out at CV. Rahayu, which is
located in Bulupountu Jaya Hamlet, Sidera Village, Sigi Biromaru District, Sigi Regency in December
2020. The determination of respondents was carried out purposively. This study uses data analysis,
namely cost structure analysis, revenue analysis, income analysis and business feasibility. Based on the
results of the study, the average amount of organic vegetable production produced by CV. Rahayu
amounted to 2,687 pcs at a price of Rp. 10,000/pcs so that the revenue was Rp. 26,870,000. The
average production costs incurred by CV. Rahayu Rp 12,174,019. So that the average income earned is
Rp. 14,695,981/year with an R/C value of 2.21, which means that the organic vegetable business is
feasible.
FAKTOR-FAKTOR YANG MEMENGARUHI PENDAPATAN NELAYAN DI DESA BAHONSUAI KECAMATAN BUMI RAYA KABUPATEN MOROWALI
Authors: Fial Husnul , Chansa Siti Yuliaty 
Published: December 2022

This study aims to determine the effect of working capital factors, length of time at sea, ship engine,
miliage at sea, and fishing experience onfishermen in bahoncustom village, morowali regency. The
analytical tool used is the coeficient of determination test. And the simultaneous test.the results of this study
are the variables of working capital, length of time at sea, ship engine, miliage at sea, and experience at sea
have a positive influence on fishermen’sincome when working capital factors, length of time at sea, the boat
engine, fishing distance, and fishing experience increase, so the income of fishermen will also increase.The
conclusion in this study is that there is a significant influence between the variabels of working capital,lenght
of time at sea,and fishing experience on fishermens income. It is recommended that fishermen access
information that is aseful for their income.
FAKTOR-FAKTOR YANG MEMENGARUHI PENDAPATAN NELAYAN PANCING DI DESA KOLO BAWAH KECAMATANMAMOSALATO KABUPATEN MOROWALI UTARA
Authors: Ulfa Ulfa , Laapo Alimudin , Nurdin Muh Fahruddin 
Published: December 2022

This study aims to determine the effect of production costs, fishing experience, fishing distance, and
fish prices on the income of fishing rods in Kolo Bawah Village, Mamosalato Subdistrict, North Morowali
Regency. This research was conducted from June to July 2021. The determination of respondents in this
study was carried out using a random sample method, with a total sample of 44 respondents from a total
population of 270 people. The analysis used is multiple linear regression analysis. The results of the analysis
show that the variable cost of production is 0.059, experience at sea is 31.039, the distance to sea is 13.710,
and the price of fish is 10.540, has a real and significant effect both partially and simultaneously on the
income of fishing fishermen in Kolo Bawah Village, Mamosalato District, North Morowali Regency.
MANAJEMEN PERSEDIAAN BAHAN BAKU KOPI BUBUK PADA UKM SIDOLE 986 DI KOTA PALU
Authors: Marina Iswah , Howara Dafina , Sulmi Sulmi 
Published: December 2022

SMEs Sidole 986 Coffe Powder UKM Sidole 986 is one of the businesses engaged in the agro-industry
that utilizes Robusta coffe bean as the main raw material. This study aims to determine how much economic
raw material purchases (EOQ) for raw material supplies in the SMEs Sidole 986, to find out how much safety
stock is in the, SMEs Sidole 986 to find out when is the right time for the SMEs Sidole 986 to do so. reorder
(ROP) for raw material inventory, and to find out the total cost of raw material inventory (TIC) in the SMEs
Sidole 986. The results of this study indicate that the management of raw material inventory in the SMEs Sidole
986 using the (Economic Order Quantity) method in July-December 2021 an average of 42,02 kg. Safety stock
of raw materials which is always available at SME Sidole 986 is 22,84 kg. Reorder Points that must be made
by the SMEs Sidole 986 in July-December 2021 an average of 127,12 kg. The total cost of the raw material
inventory coffe powder carried out in the SMEs Sidole 986 is an average of Rp. 75.824,74.
PERAN KELOMPOK TANI DALAM MENINGKATKAN PENDAPATAN USAHA TANI PADI SAWAH DI DESA MARTASARI KECAMATAN PARIGI KABUPATEN PARIGI MAUTONG
Authors: Anggara Hendra , Lamusa Arifuddin , A. Laihi Moh Alfit 
Published: December 2022

Mertasari Village is one of the villages that have total productivity of 5.9 tons/ha with a
harvested area of 117 ha and a production of 687 tons. This study aims to determine the amount of
lowland rice farming income and to determine the role of farmer groups in increasing lowland rice
farming income in Metasari Village, Parigi District, Parigi Moutong Regency. The research was carried
out from November to December 2021 in Mertasari Village, Parigi District, Parigi Moutong Regency,
the sampling method used Proportional Stratified Random Sampling by taking 33 respondents from 104
farmers who were members of 3 farmer groups in Mertasari Village. The analytical method used is
income analysis. The results showed that the income of paddy farmers, with an average income of Rp.
28.653.174/1.30ha/MT or Rp. 19,102.116/ha/MT. Based on the results of the Chi-Square test on the
role of farmer groups in increasing farmers' income, the Chi-Square count value is (6.99). Chi-Square
value if the Chi-Square count > Chi-Square table at the significant level (DB; α = 5) and DK = k-1, then
Ho is rejected and Ha is accepted from the Chi-Square test results it is known that the role of farmer
groups influences the level of rice farming income.