Firefinch (ASX:FFX) boosts forecast for Goulamina, Mali

2021.10.20 00:58 Kaitor84 Firefinch (ASX:FFX) boosts forecast for Goulamina, Mali

Firefinch (ASX:FFX) boosts forecast for Goulamina, Mali submitted by Kaitor84 to FirefinchLimited [link] [comments]


2021.10.20 00:58 The_1nquisitor Power needed for level 32

What ship power do I need to do level 32 dailies?
submitted by The_1nquisitor to startrekfleetcommand [link] [comments]


2021.10.20 00:58 Othaymin Amen

Amen submitted by Othaymin to NorthAmericanMuslims [link] [comments]


2021.10.20 00:58 tysopodcastmod Adam Ray & Brent Morin (Craziest Episode So Far) on TYSO - #131

Adam Ray & Brent Morin (Craziest Episode So Far) on TYSO - #131 submitted by tysopodcastmod to TYSOpodcast [link] [comments]


2021.10.20 00:58 poorlyhiddenprofile My 3 year old good boy, Roscoe!

My 3 year old good boy, Roscoe! submitted by poorlyhiddenprofile to germanshepherds [link] [comments]


2021.10.20 00:58 sportsandsneakers Broke out the safari’s today. Underrated pair imo

Broke out the safari’s today. Underrated pair imo submitted by sportsandsneakers to DunksNotDead [link] [comments]


2021.10.20 00:58 summonersera Writing Event! Chance to win PHALANX HELLBORN SKIN

The Community HALLOWEEN EVENT is here! Let's join for a chance to claim Phalanx skin! Join here: https://www.facebook.com/groups/summonersera.global/posts/605368797481318
Notice: As this event requires Like + Share to calculate points, you must create posts on the Summoners Era Global Official to be recognized as participants.
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2021.10.20 00:58 Guess-Individual Is CBT the best therapy for phobias? Or are there other treatments that are more effective?

Based on your experience, is CBT is the best therapy for phobias or should I consider other treatments such as exposure, systematic desensitization, hypnosis, etc?
submitted by Guess-Individual to Phobia [link] [comments]


2021.10.20 00:58 RE-gal Question about Betterment

Had anyone used Betterment for their investment? How’s your return look like in general? What’s your return (%) so far in 2021 net fees?
submitted by RE-gal to Fire [link] [comments]


2021.10.20 00:58 D00FU5_ What's Your Opinion On The Ralsei Is Evil Theory? (My Art)

What's Your Opinion On The Ralsei Is Evil Theory? (My Art) submitted by D00FU5_ to Deltarune [link] [comments]


2021.10.20 00:58 Yamamoto-- They are exactly the same

They are exactly the same submitted by Yamamoto-- to BanGDream [link] [comments]


2021.10.20 00:58 CatchingMew Mobile Application

After purchasing G2A Plus for 12 months I noticed that the price of the games I was looking at in the mobile application didn’t change to the G2A Plus price. I’m wondering if this will change with future versions of the app because at the moment it’s having users buy a game at the non discounted price even though they’re a G2A Plus member. This is very frustrating! I like using mobile applications because they’re very convenient.
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2021.10.20 00:58 givingpoliceman874 Ashley Tervort She used her hands to massage her big breasts <3

Ashley Tervort She used her hands to massage her big breasts <3 submitted by givingpoliceman874 to biggerbreasts [link] [comments]


2021.10.20 00:58 GeneralBubbly3878 As a patriot and Black man, Colin Powell embodied the ‘two-ness’ of the African American experience

As a patriot and Black man, Colin Powell embodied the ‘two-ness’ of the African American experience submitted by GeneralBubbly3878 to Military [link] [comments]


2021.10.20 00:58 the_darkener A global outlawing of money

submitted by the_darkener to CrazyIdeas [link] [comments]


2021.10.20 00:58 -Enchiladas_Verdes- First time pregnancy and home birth (Due on April 2022)

Hey! I’m as new to Reddit as I am to being a mom! I’m 14 weeks along and very excited. I’m seeing a midwife and planning on a natural water birth. I’m having a very healthy pregnancy so far, had some morning sickness and fatigue during the first trimester but I seem to be easing out of it now. I’m feeling very confident about my pregnancy and having a great birth experience, is it bad to feel confident about it? When I’ve tried to tell others about being comfortable with my body and ability to handle pain I tend to get mixed responses. Some people even seem to want to scare me out of it. What do y’all think? I’m just trying to be positive and enjoy my pregnancy lol!
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2021.10.20 00:58 Smart_Swing_5720 Updated drivers now I have 3fps on games like fortnite!

Just as my title says, I did a driver update today on my asus rog zephyrus 2020 laptop to see if it would solve the issue of warzone not opening and another problem took its place. Up until today fortnite was running around 170 fps at minimum for me and after this it is now at literally 3-5 fps. I can't believe it. Can someone please guide me on how to fix this issue please? And thank you for your help.
submitted by Smart_Swing_5720 to nvidia [link] [comments]


2021.10.20 00:58 Inevitable-Ad-9232 How can I process leads individually from a 12 lead dataset with this Deep Learning algorithms?

I've spend several days trying to figure out how to solve this: I have 3 DL algorithms (2 resnet and 1 inception), they train with the data of 6 databases from Physionet Challenge (12 lead ECG), and as I understand the code, they process the 12 leads at the same time, and work really fine, but I have to process each lead individually, choosen before train (i.e: train with lead I, lead II, etc.) and compare the metrics of each lead with the 12 lead execution, but I don't know how to extract the data of each derivation and feed the models with it. Here's a .hea file, the 6 databases contains .hea similar files that the model read to load data:

Q0001 12 500 5000 15-May-2020 15:35:30 Q0001.mat 16+24 1000/mV 16 0 0 -14 0 I Q0001.mat 16+24 1000/mV 16 0 10 -9 0 II Q0001.mat 16+24 1000/mV 16 0 10 -2 0 III Q0001.mat 16+24 1000/mV 16 0 -5 5 0 aVR Q0001.mat 16+24 1000/mV 16 0 -5 21 0 aVL Q0001.mat 16+24 1000/mV 16 0 11 -34 0 aVF Q0001.mat 16+24 1000/mV 16 0 52 -30 0 V1 Q0001.mat 16+24 1000/mV 16 0 44 -15 0 V2 Q0001.mat 16+24 1000/mV 16 0 17 -39 0 V3 Q0001.mat 16+24 1000/mV 16 0 75 -64 0 V4 Q0001.mat 16+24 1000/mV 16 0 16 -27 0 V5 Q0001.mat 16+24 1000/mV 16 0 9 18 0 V6 #Age: 53 #Sex: Male #Dx: 164867002,427084000 #Rx: Unknown #Hx: Unknown #Sx: Unknown 
The code that load data is this:
def load_challenge_data(filename): #Load a .mat file x = loadmat(filename) data = np.asarray(x['val'], dtype=np.float64) new_file = filename.replace('.mat','.hea') input_header_file = os.path.join(new_file) with open(input_header_file,'r') as f: header_data=f.readlines() return data, header_data 
And this, extract the key features:
def import_key_data(path): gender=[] age=[] labels=[] ecg_filenames=[] lead=[] for subdir, dirs, files in sorted(os.walk(path)): for filename in files: filepath = subdir + os.sep + filename if filepath.endswith(".mat"): data, header_data = load_challenge_data(filepath) labels.append(header_data[15][5:-1]) lead.append(header_data[1][36:-1]) ecg_filenames.append(filepath) gender.append(header_data[14][6:-1]) age.append(header_data[13][6:-1]) return gender, age, labels, ecg_filenames 
How I split the data:
def split_data(labels, y_all_combo): folds = list(StratifiedKFold(n_splits=10, shuffle=True, random_state=42).split(labels,y_all_combo)) print("Training split: {}".format(len(folds[0][0]))) print("Validation split: {}".format(len(folds[0][1]))) return folds 
As you can see, I tried to extract the lead's labels too but, doesn't work (so I delete the return of lead). The labels are read from .csv files which contains the Dx number and names of 27 heart ailments. After data is loaded, it's splitted in 90-10 ratio (with K folds validation) and create one-hot matrix with this y , snomed_classes = pc.onehot_encode(df_labels) . This is the method:
def onehot_encode(df_labels): one_hot = MultiLabelBinarizer() y=one_hot.fit_transform(df_labels[0].str.split(pat=',')) print("The classes we will look at are encoded as SNOMED CT codes:") print(one_hot.classes_) y = np.delete(y, -1, axis=1) print("classes: {}".format(y.shape[1])) return y, one_hot.classes_[0:-1] 
I shuffle the data with this:
def shuffle_batch_generator(batch_size, gen_x,gen_y): np.random.shuffle(order_array) batch_features = np.zeros((batch_size,5000, 12)) batch_labels = np.zeros((batch_size,snomed_classes.shape[0])) #drop undef class while True: for i in range(batch_size): batch_features[i] = next(gen_x) batch_labels[i] = next(gen_y) yield batch_features, batch_labels def generate_y_shuffle(y_train): while True: for i in order_array: y_shuffled = y_train[i] yield y_shuffled def generate_X_shuffle(X_train): while True: for i in order_array: #if filepath.endswith(".mat"): data, header_data = pc.load_challenge_data(X_train[i]) X_train_new = pad_sequences(data, maxlen=5000, truncating='post',padding="post") X_train_new = X_train_new.reshape(5000,12) yield X_train_new 
As I understand
X_train_new 
contains the 12 lead information because
maxlen=5000 
produces a 1D array of 60000 data, and if I change
maxleng=1000 
, the array's shape changes to 12000. So I need to extract the lead before of this. It's possible because my classmates process each lead individually by writing the lead to process (i.e: lead='V6'), and the model train with only the lead selected, but they work with other csv files where labels.csv are a onehot matrix where 1 is to a disease and 0 if not, and a reference.csv with patient information, very different to mine whose have the Dx, disease name and how many patients have that disease. (Both they and me work with the same .hea files) How can I process each lead individually?
submitted by Inevitable-Ad-9232 to MLQuestions [link] [comments]


2021.10.20 00:58 lollipoppop666 Tight n sweaty... for you if you're ready 😉😉 48 hr wear, $25

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2021.10.20 00:58 xsavedbygracex Is leaves from the inn of the last home supposed to be large and flat instead of paperback book sized? Or did I buy the wrong thing?

Got alot of help here with my last question so thanks in advance.
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2021.10.20 00:58 Dangerous-Pea-5708 Is anyone else desperate in their nostalgia?

Is anyone else desperate in their nostalgia? submitted by Dangerous-Pea-5708 to MTVScream [link] [comments]


2021.10.20 00:58 Angzeee Hey, I am a new youtuber who usually focuses on horror content and minecraft, I would appreciate if you subscribe to my channel thank. :)

Hey, I am a new youtuber who usually focuses on horror content and minecraft, I would appreciate if you subscribe to my channel thank. :) submitted by Angzeee to AdvertiseYourVideos [link] [comments]


2021.10.20 00:58 ViniciousFights AEW’s KiLynn King is the most underrated female talent in wrestling right now. She takes on Sofia Castillo in a banger on CCW Alive this week.

AEW’s KiLynn King is the most underrated female talent in wrestling right now. She takes on Sofia Castillo in a banger on CCW Alive this week. submitted by ViniciousFights to indiewrestling [link] [comments]


2021.10.20 00:58 ContentForager Ahhh, high school. (from tiktok) (/r/fakecartridges)

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2021.10.20 00:58 Boring_Carry9476 Redguygaia

Redguygaia submitted by Boring_Carry9476 to Ultraman [link] [comments]


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